Fernfuehler

Interactive furniture for public places

how it shall work

fernfuehler setting


idea | Installation | concept | stools | game | authors | links


fernfuehler

enliven public spaces bringing form and structure into the consciousness of the general public. As they are connected with each other, “Fernfuehler” can also play, and can influence the behaviour of these other “Fernfuehler” (or of the people sitting on them). The town-planning interest lies in enlivening urban spaces for passers-by and making these spaces able to be changed. Instead of providing seating in public spaces as permanently fixed architecture, mobile groups of seats are provided which communicate with each other, thereby discovering, through experimentation, the optimal arrangement of elements in the space. Planning from the bottom-up is brought to bear here, instead of planning from on high, so involving the user in the process of shaping public space.

top

installation

fernfuehler rendering

all possible states of fernfuehlers

fernfühler_mitohren

sensory system of fernfuehlers

“Fernfuehler” are seating options that can be moved around at will. The seats are modular. They can be brought together to form ensembles, or they can stand alone. By pulling out their backrests they can be transformed into spatial elements, or, with the backrest pushed in, they can just be seats.
“Fernfuehler” detect what other “Fernfuehler” (or the people sitting on them) are doing. And they can react to what the other ones are doing.
They are tough and unpretentious.
They like people’s company as they always move in their direction.
They can hear. When you call them, they come.

Everything that “Fernfuehler” do can be observed in a small computer game. A worm’s eye view displays the area where the “Fernfuehler” are located as a network of nodes.

The birds-eye view of the setting can be made publicly visible for anyone on a hand held computer by passers by who are in the area. The network structure’s nodes, which represent the local arrangement of “Fernfuehler”,
can be manipulated by people playing with the “Fernfuehler” on the handheld computers’ displays or on the projected video screen. In this way people can control the paths that the seats follow in the area where they are located.

erklaerung_fernfuehler_n
top

concept

Is software art a further stage of conceptual art? Works by Dan Graham (“Poem Schema”, 1966 – 1969) or Sol Lewitts Wall drawings, together with his ‚sentences on conceptual Art‘ support this understanding. Tilman Baumgaertel draws a line in his paper ‚EXPERIMENTAL SOFTWARE’ from the instruction of lewitts concepts (which are meant to be machines) to the computers from today. But the software we are writing today is not looking for a crafts man executing our will, but for users who have more degrees of freedom in their behavior. Software art today is more something inbetween the programmer and the user.
The installation „Fernfuehler“ refers with its aesthetics to Sol Lewitts “Serial Project #1″ oder “Serial Project ABCD“. A programmer today still needs formal systems to allow the computer to make comparisons, differentiations, decisions. As the world of the computer is much smaller than our every day life, we have to offer the computer a smaller version of the latter. The pedestrians, visitors and passengers will break up the initially ordered setting of the „Fernfuehler“. The visitors can move the stools around and extend their backrests. The position of the stools react to the neural network and organize themselves in a bottom-up process, according to the presence and usage of the visitors.

A moderate number of “Fernfuehler” occupy the area. “Fernfuehler” are intelligent. They are Items of furniture with rollers and a motor. They can therefore move on their own. As soon as people arrive in the area, they will move towards them, as they have microphones which listen for their voices.
Now people can take their places on the seats, they can form groups or remain alone. Because “Fernfuehler” make first for wherever people are, the arrangement of furniture elements in the area corresponds to the structure of the area, thereby strengthening it. Now you could just find a spot in the area and watch how the seats move around and how other people react to them. Anyone who finds just watching the seats operating automatically too boring, can get out a handheld computer, load the game over a wireless network and use it to activate the “Fernfuehler”.
On the screen you see a network structure with dots at each node. Each “Fernfuehler” in the area represents one of the nodes on this network.

The network connects each “Fernfuehler” while at the same time acting as a skin lying over the area. At this point there will be several options for determining the behaviour of the “Fernfuehler” in the area by manipulating the graphical interface. The purpose of the installation is to make public space more attractive, especially to young people. By providing networked seating, they experience the area as a place that changes, one that has moved beyond stable architecture. In addition they can themselves try the role of director, either on the hand held computers or, if they prefer, on the big screen, as they can influence the behaviour of passers-by by re-arranging the positions of the items of furniture. They experience what it is like for computer games to have an effect directly on the surrounding physical space and on the other people there.

top

the stools

move on rollers. When you sit on them, they will be on their frames, which settle down onto the ground on springs. Each seat has two side pieces which can be pulled out and used as backrests or, with both extended, transform the seat into an item that divides physical space.
Each seat is at the same time a node in a virtual network, linking every seat together. The nodes in the network are “neurones”, they learn from the signals which the seats, as it were, receive.
The sounds in the public space, and the use made of the seats for sitting on, are the signals feeding the neuronal network. LEDs inside the seat display the seat’s state of activity within the neuronal network, (with a colour or white light).
Each seat has a controller to which a microphone and a pressure sensor are connected. The pressure sensor can detect whether anyone is sitting on the seat, while the microphone picks up surrounding sounds, filtering human voices. If these sensors detect activity, then the seat “learns” that position as “positive”.

 

montage4

led_quer

Prototype of a stool with LED’s to indicate the inner state of the neuronal network
mitled_f
top

the game

A game is available over a wireless LAN, representing the spatial arrangement
of the seats and making it possible to integrate them. In this way it is possible
to use the computer game to instantly intervene not only on the screen, but
also into the immediate surroundings and the situation of other players.

prototyp

Variations of the spacial order:
prog_fern06
logik

Autoren:

Ursula Damm, Matthias Weber (dipl. information science)

up

Links:

the outline of paradise (installation) [2014]

installation view at the Hybris exhibition ACC Weimar

detail of the installation, flowers for midges, food for larvae

visitors observing the midges, observing the air planes

muecken weimar vimeo from resoutionable on Vimeo.

Non-biting midges (chironomidae) are bred in an aquarium. Inside the aquarium mosquito eggs and larvae swim in sand and water. They are ventilated and supplied with abundant artificial daylight. The choice of midges (Chironomus Riparius, a laboratory strain) allows for captive breeding.

midges learning to fly like air planes

For a performance I invited Christina Meissner  to improvise on the theme of the wingbeat sound. We could experience that the tracks of the midges were visibly influenced especially by dark plucking sounds.

  • "the outline of paradise" - view into the soundbox

This setting allows to find out how swarms develop and how they can be influenced. This installation follows “sustaibable luminosity” and explores the possibilities to train migdes and to  pass this behaviour to the next generations

Concept: Ursula Damm
Artistic consultation: Dr. Klaus Fritze
Cello, Sounds: Christina Meissner
Programming: Sebastian Stang

I am a Sensor [2013]

I am a Sensor from resoutionable on Vimeo.

Since the 90ies many devices and machines have found their place between the artist and its audience. Communication happens in an controlled, planned, downsized way – in short: posthuman. In doing so we accept that every interface deflect the attention from our senses of in favour of technical devices and data.

The video has been produced for the annual meeting of the german association of media sciences, Leuphana University Lüneburg 2013

Seit den 90er Jahren haben sich zwischen den Künstler und sein Publikum jede Menge Apparate und Apparaturen geschoben. Kommunikation geschieht geplant, kontrolliert, reduziert, erweitert – kurz: posthuman. Dabei wird in Kauf genommen, dass jedes Device bereits die Aufmerksamkeit des Performers vom eigenen Körper ablenkt auf technische Artefakte.

In einigen Experimenten wird gezeigt, was passiert, wenn der Körper als ultimative Instanz der Bewertung seinen Platz zurück erhält und die natürlichen Sinne von Mensch und anderen Lebewesen ins Zentrum der Betrachtung gerückt werden.

Das Video wurde uraufgeführt zur Jahrestagung der Gesellschaft für Medienwissenschaften, Leuphana Universität Lüneburg

Chromatographic Ballads [2013]

chomatographic ballads from resoutionable on Vimeo.

The installation received a honorary mention at VIDA 15.0

The Artwork

Chromatographic Orchestra is an artistic installation which allows a visitor to direct a software framework with an EEG device. In an exhibition environment with semi-transparent video screens a visitor is sitting in an armchair and learns to navigate unconsciously – with his/her brain waves the parameter space of our software – Neurovision.

Neurovision interacts with live video footage of the location of the exhibition and its surroundings. By navigating with his/her own brain waves the visitor can define and navigate the degree of abstraction of a generative (machine learning) algorithm,  performed on the footage of different, nearby video cameras.

Lisa training the Interface

Lisa training the Interface

The installation refers back to painting techniques in the late 19th and early 20th century, when painting became more an analysis of the perception of a setting then a mere representation of the latter. Impressionism and Cubism were fragmenting the items of observation while the way of representation was given by the nature of the human sensory system.

The installation “chromatographic orchestra” does not apply arbitrary algorithms to the live footage: we developed a software – the Neurovision framework – which mimics the visual system of the human brain. Thus we question whether our algorithms meet the well being of the spectator by anticipating processing steps of our brain.

Artistic Motivation

How much complexity can our senses endure, or rather how could we make endurable what we see and hear? Many communication tools have been developed, to adjust human capabilities to the requirements of the ever more complex city.

Our installation poses the opposite question: How can information emerging from the city be adjusted to the capabilities of the human brain, so processing them is a pleasure to the eye and the mind?

At the core of our installation is the NeuroVision Sandbox, a custom made framework for generative video processing in the browser based on WebGL shaders.

Martin explaining the Neurovision software

Martin explaining the Neurovision software

Inside this Sandbox we developed several sketches, culminating in the
“Chromatographic Neural Network”, where both optical flow and color information of the scene are processed, inspired by information processing in the human visual system.

We critically assess the effect of our installation on the human sensory system:

  • Does it enhance our perception of the city in a meaningful way?
  • Can it and if so – how will it affect the semantic level of visual experience?
  • Will it create a symbiotic feedback loop with the visitor’s personal way to interpret a scene?
  • Will it enable alternate states of consciousness? Could it even allow visitors to experience the site in a sub-conscious state of “computer augmented clairvoyance”

Installation

visualisierung_site_cr

In a location close to the site a single visitor directs a video-presentation on a large screen with a setup we like to call “the Neural Chromatographic Orchestra” (NCO).
Our installation uses an EEG-Device (Emotiv NeuroHeadset) that lets visitors interact with a custom neural network. The setup allows visitors to navigate through various levels of abstraction by altering the parameters of the artificial neural net.

With the NCO device, a visitor can select and explore real-time views provided by three cameras located in public space with different perspectives on the passer-byes (birds-eye view and close-ups)

The installation is based on the NeuroVision Sandbox used in the development of “transits”.
Other than transits, chromatographic ballads uses multi-channel real-time video-input and enables a visitor to interact with irectly via biofeedback with the neural network.

The Neural Chromatographic Orchestra investigates how human perception reacts to the multifaceted visual impressions of public space via an artistic setting. Using an EEG-Device visitors can interact with a self-organizing neural network and explore real-time views of an adjacent hall from several perspectives and at various levels of abstraction.

Biological Motivation

The Chromatographic Neural Network is a GPU-based video processing tool. It was inspired by parallel information processing in the visual system of the human brain. Visual information processing inside the brain is a complex process involving various processing stages.The visual pathway includes the retina, the Lateral Geniculate Nucleus (LGN) and the visual cortex

Scheme of the optical tract with the image being processed (simplified): http://en.wikipedia.org/wiki/File:Lisa_analysis.png

Low-level visual processing is already active at the various layers of the retina. The Interconnection of neurons between retina layers, and the ability to retain information using storage or delayed feedback, allows for filtering the visual image in the space and time domain.

Both image filters and motion detection can easily be achieved by accumulating input from neurons in a local neighborhood, in a massively parallel way.

Our Chromatographic Neural Network uses this approach to cluster colors and to compute the visual flow (or retina flow ) from a video source. The resulting attraction-vectors and flow-vectors are used to transform the memory retained in the memory layer.

The visual output of the system directly corresponds to the state of the output layer of the neural network. The neural layers of the Chromatographic Neural Network, are connected to form a feedback loop. This giving rise to a kind of homeostatic-system that is structurally coupled to the visual input but develops its own dynamics over time.

The set-up

visualisierung_site_p_zentral

main hall with passangers

A visitor enters the site – a highly frequented passage, a spacious hall or a public place. Two videocameras, mounted on a tripod, can be moved around at will.

Another camera observes the passer-byes – their transits and gatherings – from an elevated location. The video footage from this site is streamed into a neighboring room – the orchestra chamber of the Neural Chromatographic Orchestra.

Here one can see – in front of a a large video wall a monitor displaying the videos from the adjacent room and the “orchestra pit” – an armchair equipped with a touch device and a neuro-headset. The video wall, showing abstract interpretations of the site itsself, should ideally be visible both from the orchestra pit and from the large hall.

The Orchestra Chamber

visualisierung_sitecrpv

view from the “orchestra chamber”

Inside the chamber the visitor is seated in a comfortable armchair and an assistant helps her put on and adjust the neuro-headset.

The orchestra chamber should be isolated from the public area as much as possible. A sense of deprivation from outside stimuli allows the visitor to gain control over her own perception and achieve a state of mind similar to meditation or clairvoyance.

The Orchestral Performance

Training Cognitive Control

A performance with the Neural Chromatographic Orchestra starts with a training of up to six mental actions, corresponding to the “push/pull”, “left/right“ and “up/down” mental motions provided by the Emotiv Cognitiv suite. The training typically lasts 10 to 30 minutes.

Playing the Sandbox

After successful training the visitor is asked to sit in front of the NeuroVision Sandbox:

The visitor in the orchestra chamber has three modes of conducting the neural network

  • either the birds-eye view or one of the cameras that take a pedestrian’s perspective
  • A graphical user interface lets her switch between different neural networks and control their parameters
  • A menu lets her choose any of the three cameras as a video source:
  • the NeuroHeadset allows to navigate the parameter space of the selected neural network

Conducting the Orchestra

Once the visitor feels comfortable conducting the NCO on the small screen, she can perform on the large screen, that is also visible from the outside.

On the public screen sliders are not shown, but the conductor may still use a tablet device to access the graphical user interface.

The current position in parameter spaces is represented by a 3d-cursor or wire-frame box, which is very helpful for making the transition from voluntary conduction moves, to a style of conducting that is more directly informed by immersion and interaction with the output of the Chromatographic Neural Network.

The Chromatographic Neural Network

The flow of information is arranged into several processing layers. To realize memory, each processing layer is in turn implemented as stack of one or more memory layers.This allows us to access the state of a neuron at a previous point in time.

Example

The video layer is made up of two layers, so the system can access the state of any input neuron at the current point in time, and its state in the previous cycle.

Processing Layers

 

The Video layer

The Video layer contains the input neurons. Each neuron corresponds to a pixel of the video source. The Video layer provides the input for the Flow layer.

The Ghost Layer

The Ghost layer represents a haunting image from the past. It implements the long term memory, that interferes and interacts with the current visual input. It does not change over time, and is provided as additional input to the Flow layer

 

The Flow layer

The Flow layer accumulates the input from the Video layer and the Ghost layer. Each Neuron aggregates input from its neighborhood in the Video Layer at times (t) and (t-1). The computed 2d vector is directly encoded into the the state of the neuron, creating a flow map.

The Blur layers

The Blur layers are used to blur the flow map. While the computation of visual flow is restricted to a very small neighborhood, the blur layer is needed to spread the flow information to a larger region, since flow can only be detected on the edge of motion.

For efficiency reasons the blur function is split into two layers, performing a vertical and a horizontal blur respectively.

 

Neuron Processing

The state of each neuron corresponds to an RGB color triplet. Every neuron of the Flow layer gets input from corresponding neurons inside a local neighborhood of the input layers. Each of those input samples corresponds to a single synapse. The vector from the center of the neuron towards the input neuron is referred to as the synapse vector.

Color Attraction

To achieve some kind of color dynamics, colors that are close in color space are supposed to attract each other.

The distance between synapse input and the neuron state in RGB color-space, serves as a weight, which is used to scale the synapse vector. The sum of scaled synapse vectors results in a single color attraction vector.

 

Color Flow

While color attraction is the result of color similarities or differences in space, color flow is the result of a color changes over time. Rather than calculating the distance of the neuron state to a single synapse input, its temporal derivative is calculated by using input from a neuron and its corresponding memory neuron. This time the sum of scaled synapse vectors results in a flow vector.

Encoding

Both color flow and color attraction vectors are added up and their components are encoded in the flow layer.

Parameters

here are various parameters in each layer controlling the amount and direction of color attraction, color flow, the metrics used for calculating color distances, the neuron neighborhood, etc …

Implementation

All neural computation is performed on the GPU using OpenGL and GLSL shaders. This is the mapping from neural metaphors to OpenGL implementation:

Memory layers → Texture-Buffers
Processing Layers → GLSL shaders
Parameters → GLSL uniforms

Outlook

In our implementation both color flow and attraction are integrated into a single level flow map. While this generates interesting local interactions, there is little organization on a global level. The work on Multilevel Turing Patterns as popularized by Jonathan McCabe shows that it is possible to obtain complex and visually interesting self organizing patterns without any kind of video input.

Our future research will combine several layers of flow maps, each operating on a different level of detail. Additional directions include alternate color spaces and distance metrics.
In the current model input values are mixed and blurred, resulting in a loss of information over time. We have also been experimenting with entropy-conserving models and are planning to further investigate this direction.

This project is based on two recent artworks, “transits” and “IseethereforeIam”

Conceppt: Ursula Damm
Programming: Martin Schneider

transits [2012]

For the work Transits, Ursula Damm filmed the Aeschenplatz in Basel during a period of 24 hours. Every day, thousands of cars, pedestrians and trams pass Basel’s most important traffic junction. “Transits” captures and alienates the recorded stream of motion with an intelligent algorithm that was developed by the artist and her team: It evaluates the audiovisual data and categorizes the patterns of movement and the color schemes. Based on the human memory structure and the visual system, the artificial neuronal network integrated in the software – where every pixel corresponds to one neuron – computes the visual flow. Various perceptional image layers overlap to generate an intriguing visual language in which stationary picture elements compete against the color scene. This begins at night and leads via dawn and noon to dusk; at the same time it is pervaded by arbitrary passersby, by cars, trams and people in the streets. The generative video interprets movements as atmospheres and eventually throws the viewer back to an individual perception of the city.

A detailed description of the algorithms and a further development of a interface for the installation you may find here

Transits has been produced for the exhibition sensing place of the  House of Electronic Arts Basel and is part of the collection of the museum.

Die Installation Transits verwendet statische Videoaufnahmen des Aeschenplatz in Basel, um Spuren von Passanten auf einem städtischen Verkehrsknotenpunkt aufzuzeichnen und in ihren Charakteristiken sichtbar zu machen. Eine speziell neu entwickelte Software (Autor: Martin Schneider) begreift das gesamte Videobild als neuronale Merkmalskarte (kohonen map). Jeder Pixel des Videobildes wird gespeichert und in der Folge mittels spezieller Algorithmen “erinnert” oder verarbeitet. Einerseits wollten wir, dass lang verweilende Elemente sich ins Bild einschreiben, zum anderen aber hat diese Bildverarbeitung auch eine eigene Dynamik: Farben ziehen sich an und Bewegungen schieben Pixel in die erkannte Richtung. Das Bildergebnis schwankt zwischen Beschreibung von ortsspezifischen Ereignissen und der Eigendynamik der Bildverarbeitung, wie sie unserem Gehirn zugeschrieben wird, hier vorweggenommen von einer Software.

Für eine ausführliche Beschreibung der Algorithmen und ein neu entworfenes Interface zur Steuerung der Bildwahrnehmung schauen Sie bitte hier.

Transits wurde produziert für die Ausstellung sensing place des Hauses für Elektronische Kunst Basel und wurde in die Sammlung des Museums aufgenommen.

 

Konzept der Installation:
Ursula Damm
Vorarbeiten: Matthias Weber
Software: Martin Schneider
Sound: Maximilian Netter

the outline of paradise (sustainable luminosity, video) [2012]

exhibition at ACC Weimar

the outline of paradise – the video

still from the video - a swarm looses its shapeWhat would our cities look like if advertising messages are produced not from artificial lighting but from swarming midges, glowing like fireflies? The “outline of paradise” explores the promises and capabilities of technoscience and developes and installation out of this narratives.

the outline of paradise from resoutionable on Vimeo.

This artwork has initially been produced as a produkt provided from super-cell.org, a supermarket offering speculative products related to Synthetic Biology:
http://super-cell.org/shopping/product-17/

For our experiment, we train non-biting midges (Chironomidae) to fly in a way that their swarm takes the shape of advertisement messages. The insects are genetically modified to glow in the dark and alter their genetic make-up according to the training and sound input we provide. This initial training will be inherited over generations and keeps the swarm in shape.

How can letters be tought to insects? How can we teach the alphabet to midges?
As chironommidae are sensitive to sound, we use a real-time sound spatialisation system to teach the midges. Until now we are only able to produce clouds of midges forming a simple LED font

Natural midges (chironomidae) form swarms with the shape of a circulating sphere. The swarms consists of male adults congregating for courtship. They are organized through the sound of the wingbeats of the male midges. Our system uses the sensitivity of chironomidae for sound and organize them with synthetic wing beat sound.

Midges are sensitive to sounds within the range of the wing beat of their species. This sounds are normally ± 50 Hz around the specific frequence.
To teach midges the alphabet, letters are coded with nine different sounds withing this range. Through the spatial placement of the loudspeakers midges learn to react in a certain manner to polyphonic tones by memorizing sound frequencies and the letter-related collective behaviour of their swarm.

Die Idee
Es gibt Tiere, die im Dunkeln leben. Einige von ihnen haben ihr eigenes Lichtorgan ausgebildet. In der Tiefsee ermöglicht es die Orientierung – in der Nacht hilft es einem Glühwürmchen beim Werben um einen Partner. Von der Natur möchte ich die Anregung aufnehmen und mir das Werben der Mücken um einen Partner zunutze machen. Wie sähen unsere Städte aus, wenn die Werbebotschaften der Unternehmen nicht mit Leuchtstoffröhren oder LED‘s, sondern direkt von leuchtenden Mücken produziert würden?
Wäre diese natürliche Lichtproduktion nicht auch sinnlich viel ansprechender als die technoide Ästhetik herkömmlicher Werbung? Ganz nebenbei spart diese Werbung Energiekosten und löst das ökologische Problem der „Lichtverschmutzung“.
Wie es anfing…
Mit super-cell.org entstand 2010 der erste online-supermarkt der synthetischen Biologie. Er wurde geschaffen von meinen Studenten als spekulatives Designprojekt innerhalb des iGEM-competition,
ein studentischer Wettbewerbs am MIT in Boston. Das Team war eine Kooperation von Studierenden von Prof. Roland Eils, Bioquant/Ruprecht-Karls-University Heidelberg und Mitarbeitern und Studierenden meines Lehrstuhls an der Bauhaus Universität Weimar (http://www.uni-weimar.de/medien/
wiki/GMU:Synthetic_Biology
).
das Projekt
Anders als meine Studenten möchte ich als Künstlerin meine Werke nicht nur virtuell erfahren – deshalb habe ich nun begonnen, Mücken zu züchten, um in einer Soundfeedbackinstallation zu trainieren sie zu trainieren, so dass ihre Schwärme in Formationen fliegen. Parallel beginne ich, in Kollaboration mit der Uni Heidelberg, die Möglichkeiten zu eruieren, Chironomus riparius mit einem Leuchtgen auszustatten. Dabei greifen wir auf Vorarbeiten zurück, die vom iGEM Team Cambridge 2010 im Rahmen des E.Glowli Projektes (http://2010.igem.org/Team:Cambridge) bearbeitet wurden. Gleichzeitig können wir auf die Erkenntnisse zugreifen, welche in Forschungsprojekten um die Kodierung von Organen bei Drosophila (Fruchtfliege) erarbeitet wurden.
Ferner liegen Untersuchungen vor zur Lernfähigkeit von Insekte, die vielversprechend sind. Ob das Projekt am Ende die vorgesehene Form annimmt oder ob die Umstände (Sicherheitsbestimmungen, technische Machbarkeit, ökologische Problemstellungen, Grenzen der Natur) die Realisation ermöglichen oder ein Scheitern herbeiführen bzw. ein Umdisponieren notwendig machen, ist der eigentliche Prozess, den es zu veranschaulichen gilt. Es ist Bestandteil des Projekts, Methoden und ihre Artefakte auf dem Weg der Umsetzung sinnlich nachvollziehbar zu machen, indem sie zum Gegenstand einer prozessualen künstlerischen Installation werden, die über die ökologischen wie gesellschaftlichen Implikationen der Biotechnologie berichtet.

das Konzept
„Sustainable Luminosity“ ist eine Beleuchtungsmethode für die Stadt, die nachhaltig und natürlich ist. Luciferin, ein Naturstoff, sorgt bei Glühwürmchen für ein Licht, das in seiner Intensität und seinem Nutzungsgrad jeder technischen Leuchtquelle überlegen ist. Das Produkt schlägt vor, das Werben der Glühwürmchen um einen Partner als Vorbild für die Werbeträger in den Städten zu nehmen. Leuchtreklame wird anstatt elektronisch gesteuert, von Mücken geflogen, die mit einem Leuchtgen
ausgestatteten werden und ein spezielles Flugtraining erhalten haben. „Zucht“ tritt hier als Form der Gestaltung der Natur neben das Engineering und verweisen auf die Epigenetik und deren Einflussnahme auf die Expression genetischen Dispositionen. Die Veranschaulichung des „Zuchtverfahrens“ wiederum macht den sensorischen Apparat der Mücken deutlich und stellt somit den tiefen Eingriff in den gesamten Lebensrhythmus der Tiere dar. Sustainable Luminosity greift eine typische Problemlage auf, indem herkömmliche Technologie durch „natürliche“, da bioorganisch erzeugte und damit „nachhaltigere“ Technologien als Problemlösungspotenzial der Synthetischen Biologie angepriesen werden. Dass hier statt Bakterien, den üblichen Manipulationsorganismen der Gentechnik, höhere Lebewesen eingesetzt werden, ist ein Kunstgriff, der dem Menschen Empathie ermöglichen soll. Gleichzeitig wird die Frage aufgeworfen, inwieweit höhere Organismen in Zukunft durch die Synthetische Biologie den menschlichen Zwecken unterworfen werden.

der Arbeitsprozess
Chironomiden (Zuckmücken) reagieren auf Tonfrequenzen. Mit einem Echtzeit-Sound-Spatialisierungs-System trainieren wir diese Mücken, in Form einfacher LED-Buchstaben zu schwärmen. In aufwändigen Trainingseinheiten lernen Mücken, ein vorher eingeübtes Wort als Flugformation auszubilden. Diese Flugeigenschaften bleiben – einmal erworben – erhalten und werden epigenetisch an die Nachkommen vererbt.
Ausgeliefert werden die Mücken als Larven. Vor Ort ausgesetzt bilden sich nach kurzer Zeit die Schwärme, die sodann die genetisch gespeicherte Information in ihren Flugbahnen nachvollzieht.

die Technik
Natürliche Zuckmücken (Chironomidae) bilden Schwärme in Form von Kugeln. Die Schwärme bestehen aus Männchen, die sich zur Paarung zusammenrotten,
um von Weibchen gesehen zu werden. Sie organisieren sich untereinander über die Flügelschlaggeräusche.
Unser System benutzt diese Sensibilität für Klänge und organisiert die Mücken mit simuliertem Flügelschlagsound. Mücken reagieren auch auf simulierte Töne im Bereich ihres eigenen Flügelschlags. Diese Töne variieren ungefähr ± 50 Hz um die artspezifische Frequenz. Wie aber kann man Zuckmücken Buchstaben beibringen? Wie kann man sie das Alphabet lehren? Wir benutzen ein Echtzeit Sound-Spatialisierungs – System, um Mücken zu unterrichten. Die Mückenschwärme fliegen in Schwärmen in Form von einfachen LED-Buchstaben.
Um die Mücken das Alphabet zu lernen, werden Buchstaben mit neun verschiedenen Tönen innerhalb dieser Bandbreite codiert und in der Buchstabenmatrix ortsspezifisch ausgestrahlt.

paradise_allgemein_ok

I see therefore I am [2011]

points-of-view2Zwei Kameras, mit einem Rechner verbunden.  Die Stelen, die die Kameras tragen, sind mit Rollen versehen, sind beweglich und von Besuchern  zu verschieben. An den Stelen sind Knöpfe, über die die Besucher das Bild der jeweiligen Kamera als Zuspieler für die Software aktivieren können.
points-of-view_1
Im Innern des „Haus am Horn“ – des historischen Bauhaus-Modellhauses – stehen zwei Kameras auf beweglichen Holzstativen. Eine Kamera schaut aus dem Fenster, eine ist auf das Innere des Gebäudes gerichtet. Besucher können diese Kameras bewegen und sie als Zuspieler für ein Bild auswählen, das im Wohnraum als Projektion entsteht: die erste Kamera sensibilisiert für einen Blick, das Bild der zweiten Kamera entsteht in den aktiven Bereichen des ersten Bildes. Sichtbar ist nur dort etwas, wo bereits zuvor etwas passiert ist.
Die Installation operiert mit den Mechanismen der Wahrnehmung und untersucht algorithmische Verfahren auf ihr assoziativ/künstlerischen Qualitäten. Wie wir Menschen nutzt points-of-view zwei „Augen“ um zu sehen. Allerdings „sehen“ diese Kameras nie gleichzeitig, sondern versetzt in Raum und in Zeit. Sie sind montiert auf zwei beweglichen, mit Rollen versehenen Steelen, betrachten den Raum, in welchem sie stehen, aus der Perspektive der Besucher der Ausstellung. Die Besucher können durch Knopfdruck an den Steelen die jeweilige Kamera aktivieren. Dadurch wird das Bild der Kamera zugespielt zu einer Videoprojektion. Diese berechnet ein Bild, das nicht nur die aktuelle Perspektive der aktiven Kamera abbildet, sondern
über ein programmiertes Gedächtnis (eine vereinfachte, neuronale Karte) das aktuelle Bild mit den vorherigen Perspektiven überblendet. Dabei erkennt die Software insbesondere in den Bildbereichen
etwas, in welchen zuvor bereits Bildveränderungen geschehen sind. Es entsteht eine Überblendung von lebendigen „Augenblicken“ und Perspektiven, ähnlich dem Vorgang, wie unsere Wahrnehmung Bilder erkennt – ohne Vorwissen – sondern das jeweils Neue aus dem Vorigen verstehend ableitend. Die Installation der zwei Steelen ermöglich, durch das Bewegen der Kameraständer im Raum und
das wiederholte Aktivieren der jeweils anderen Kamera die Eigenschaften der Software spielerisch zu erforschen. Dabei erlebt der Besucher, wie Technologie sind den Verständnis – und Wahrnehmungsprinzipien
des Menschen immer mehr annähert und die Bildästhetik vergangener Epochen (wie z.B. des Impressionismus oder des Kubismus) in Artefakten programmierter Bildwelten wieder
lebendig wird.

U-Bahnhof Schadowstrasse [2016]

‘Turnstile’ – an interactive installation

Schadow 02web

Installation view – photo by Achim Kukulies

On the front wall of the Schadowstrasse underground station, an LED wall displays a generative video. In front of the wall, a light shaft extends to the surface of the plaza where a video camera is set up. The camera continuously films passing pedestrians on the plaza and streams the feed to a specially developed generative software application (coded by Felix Bonowski) which derives proposed geometries for structures based on the movement patterns of the pedestrians. These interpretations of the real-time video generate new geometries for the location and propose axes and parcels. Two elevators, to the left and right of the large video image, lead from the plaza to the rail platform.

Turnstile (Drehkreuz) from resoutionable on Vimeo.
On the platform, the geometric structures can be heard as a sound interpretation (by Yunchul Kim). At the centre of the artistic intervention is the video image and its artistic concept. The concept is reflected in the design of the entrance areas. Plates are inserted in the blue glass of the underground station at 21 locations, which display geometries over districts of Düsseldorf.

Schadow 04web

pattern drawing on aerial photo of Düsseldorf, photo by Achim Kukulies

In the east concourse is the aerial image of the city of Düsseldorf that was analysed according to the geometric concept.

limesSCD_combo_fullsize

Geometric pattern generation on the spacial structure of Duesseldorf

As excerpts from this aerial picture, 16 locations in Düsseldorf were interpreted at the level of a local aerial image. These urban areas were described with regular polygons as energy centres which fitted themselves together through the development of the city architecture (see the text on the concept of the generated patterns).

Schadowstrasse_Wehrhahnlinie_s

Plates at the west concourse

The fine structure of the patterns juxtaposes both the sensibility of nature and the human, formative gestures against the massive edifice, calling to mind a mode of formation that creates sweeping interconnections through the symbiotic organisation of a multitude of individual elements. In doing so, this formative process completes the social principle through which individuals experience their effect on the whole.

 

The pattern drawings are generated in slow steps: First a line drawing is created over the image of the city. As this progresses, important motion axes of traffic and pedestrians are emphasised. The areas these axes enclose become polygons. At this point, the angles of the lines and axes are examined in the search for whole-number fractions of regular polygons.

The smallest polygon integrating all of the symmetries at the location (for instance, five-angled and four-angled fragments would be assembled into a 20-sided polygon) is then used to describe an intersection.

A subsequent step is the search for connections (network) between large neighbouring polygons.

Work with the aerial images revealed that the city centre has very small polygons, while outer areas have a significantly more expansive structure. Thus, density is indicated by the presence of small polygons and complex symmetries. Often, the transition from non-rectangles to rectangles can indicate historical breaks in the urban landscape. In this way, the interpretations represent a study of the settlement and planning history of the city.

18_catalogue 27photoshop 10_photoshop 24R_HGVf_12<-6-F_eingang_u_West-nord_5_HGV

The sound installation

The generative video installation interprets traces of movement created by geometric “agents.” The activity of these agents is translated into sounds which track the visual artefacts. As such, the sounds form the noise that the virtual artefacts generate in their world, and thus represent and extended artistic “level of reality” of the installation.

PROGRAM

  • Select a location (origin)
  • Determine the movement axes of people and traffic
  • Look to see if these axes are at angles to one another, which when mirrored and rotated can form a polygon, the sides of which all extend outward equally
  • Draw this polygon to approximate the natural geometry of the location
  • Look to see if, starting from this, the intrinsic geometries of the location can form a surface structure, (tessellation) that periodically repeats the original geometries
  • Determine whether and how, in the aerial image of the location, the areas fit together in the revealed geometry of  the place
  • Enhance existing structures by developing their geometries
  • Connect existing structures into the logic of the original geometry

 


 

TURNSTILE – eine Installation für die U-Bahn Station Schadowstrasse Düsseldorf

Auf der Stirnwand des U-Bahnhofs Schadowstrasse zeigt eine LED Wand ein generatives Video. Vor dieser Wand strebt ein Lichtschacht an die Platzoberfläche, wo eine Videokamera aufgebaut ist. Diese Kamera filmt unablässig Passanten auf dem Platz und leitet das Bild an eine eigens entwickelte generative Software (programmiert von Felix Bonowski), die aus den Bewegungsspuren der Passanten geometrische Vorschläge für Konstruktionen ableitet. Diese Interpretationen des Echtzeitvideos entwerfen neue Geometrien für den Ort, schlagen Achsen und Parzellen vor. Zwei Aufzüge rechts und links des großen Videobilds führen vom Platz auf den Bahnsteig. Dort kann man eine Soundinterpretation (komponiert von Yunchul Kim) der geometrischen Konstruktionen hören.

Zentrum der künstlerischen Intervention ist das Videobild mit seinem Konzept.Dieses Konzept findet sich auch in der Gestaltung der Wände der Schnitträume wieder. In das blaue Glas des U-Bahnhofs sind an 21 Stellen Platten eingefügt, welche Geometrien über Stadtteilen von Düsseldorf aufzeigen.

In der Verteilerebene Ost findet sich das Luftbild der Stadt Düsseldorf, das entsprechend des geometrischen Konzepts analysiert wurde.

Als Auszüge aus diesem Luftbild wurden 16 Orte in Düsseldorf auf der Ebene eines lokalen Luftbildes interpretiert: die Stadträume werden mit regulären Polygone beschrieben als Energiezentren, die sich über die Entwicklung der Stadtarchitektur aneinander angepasst haben (siehe Text zum Konzept der Mustergenerierungen).

Die feine Struktur der Muster setzt dem massiven Bauwerk die Sensibilität der Natur, aber auch der menschlichen, gestalterischen Geste gegenüber und ruft eine Form des Gestaltens in Erinnerung, die durch symbiotische Organisation von vielen Einzelelementen und -energien großräumige Zusammenhänge erzeugt. Damit vollzieht diese Gestaltung das Prinzip des Sozialen, bei welchem das Individuum seine Auswirkung auf das Ganze erfährt.

Der Entwurf der Musterzeichnungen geschieht in langsamen Schritten: Zunächst erfolgte eine Linienzeichnung über dem Stadtbild. Dabei sollten wichtige Bewegungsachsen von Verkehr und Passanten hervorgehoben werden. Die von den Achsen eingeschlossenen Flächen werden zu Polygonen. Nun folgt ein Untersuchen von Winkeln der Linien und Achsen, auf der Suche nach ganzzahligen Brüchen von regulären Polygonen. …

Das kleinste, alle Symmetrien vor Ort integrierende Polygon (beispielsweise bei Bruchstücken von 5-Ecken und 4 Ecken wäre das ein 20-Eck) wird dann zur Beschreibung der Kreuzung herangezogen.

In einem weiteren Schritt wird nun nach Verbindungen (Netzwerk)zwischen den großen Polygonen in der Nachbarschaft gesucht.

Es ergab sich bei der Arbeit an den Luftbildern, dass die Innenstand sehr kleinräumige Polygone aufweist, während Aussenbezirke deutlich großräumiger strukturiert sind. Verdichtung lässt sich also an kleinteiligen Vielecken und komplexen Symmetrien ablesen. Häufig kann auch der Übergang von nicht-vierecken zu Vierecken auf historische Brüche im Stadtbild hinweisen. So stellen diese Interpretationen Untersuchungen dar über die Siedlungs- und Planungsgeschichte der Stadt.

Die Soundinstallation:

Die generative Video-Installation interpretiert Bewegungspuren, die von geometrischen „Agenten” erzeugt wird. Die Aktivität dieser Agenten wird in Töne übersetzt, den visuellen Artefakten folgend. Der Sound ist somit wie das Geräusch, das die virtuellen Artefakte in ihrer Welt generieren und stellt eine erweiterte künstlerische „Wirklichkeitsebene“ der Installation dar.

Das PROGRAMM

  • wähle einen Ort (Ursprung)

  • bestimme die Bewegungsachsen von Personen und Verkehr

  • schaue, ob diese Achsen in Winkeln zueinander stehen, die durch Spiegeln und Drehen ein Polygon bilden, das sich nach allen Seiten gleichmässig ausdehnt

  • zeichne dieses Polygon, um die natürliche Geometrie des Ortes nährungsweise zu bestimmen

  • schaue, ob ausgehend von diesen, dem Ort eigenen Geometrien, eine Flächenstruktur (Parkettierung) möglich ist, die die Ursprungsgeometrien rhythmisch wiederholt.

  • untersuche, ob und wie im Luftbild des Ortes vorhandene Areale sich in die gefundene Geometrie des Ortes einfügen

  • verstärke vorhandene Strukturen durch Entwicklung ihrer Geometrien

  • verbinde vorhandene Strukturen in die Logik der Ursprungs-Geometrie

  • schaue in die Umgebung: wie können Orte miteinander vernetzt werden über Einsatz von geometrischen – also mathematisch beschreibbaren – Generierungsschematas?

  • Welche Proportionen bauen diese Geometrien zueinander auf?

 Konzept: Ursula Damm
Programmierung: Felix Bonowski
Sound: Yunchul Kim

official website Stadt Düsseldorf

598 [2009]

Installation at “Springhornhof” as part of the exhibition “Landscape 2.0”

teaching the ground



The video installation “598” comprises a high definition video installation, digitally manipulated sound and five mats made of unprocessed sheep’s wool (42′ video stream gained from a custom made software).

“598” shows a landscape of primitive heathland, filtered through computer software operating without our knowledge or powers of interpretation. As if in our mind’s eye, a kind of landscape of the perceived image builds up. In their movements sheep are oriented not just to the group, but also in relation to the supply of food beneath them. The movements of individual animals, as well as of flocks as a whole, thus tell us about the composition of the landscape. The image is in itself already an interpretive vision of the soil beneath their feet which, over the centuries, has been used as pasture in the same way.

The form of the Lüneburg Heath already shows the effects of grazing sheep. Their consumption of grass and young shoots protects the heath from afforestation and creates clearings and open, green spaces; in other words, a heath. The appearance of freely grazed areas has, over the centuries, allowed a landscape to develop whose form derives from this symbiosis. But it is possible to recognize other forms of co-operation as well, and the sheep, which lack a sense of will, are a rewarding example for illustrating the study of behavioural strategies that go beyond egotism.

It is now not enough for us humans simply to observe and to learn to understand. In the computer we have designed a tool which grazing sheep, and a calming landscape, analyse and categorize by means of a structure that is capable of learning. This software learns from the landscape and from the 598 sheep – recorded on a video camera mounted on a crane, as if we humans, looking down from the clouds, were omniscient.

A new, artificial landscape develops which allows the properties of the things observed to be perceived. Due to the movement of the sheep across the heath these properties can be recognised but as individual images they are not evident.
_____________________________________________
In der Arbeit “598” nehmen wir mit einer Software eine urtümliche Landschaft wahr, ohne unser Wissen oder unsere interpretatorischen Fähigkeiten zu benutzen. Wir wollen quasi vor unserem inneren Auge eine Art Landschaft des wahrgenommenen Bildes aufbauen.
Schafe sind in ihren Bewegungen nicht alleine an der Gruppe orientiert, sondern auch an dem Futtervorkommen des Untergrunds. So erzählen die Bewegungen der Einzeltiere wie auch der Herde als Gesamtes und von der Beschaffenheit der Landschaft. Das Bild an sich ist bereits ein interpretierendes Sehen eines Untergrundes, der schon über die Jahrhunderte in gleicher Weise beweidet wurde.

“598” from resoutionable on Vimeo.

Die Lüneburger Heide zeigt in ihrer Gestalt bereits die Auswirkungen der Schafe. Ihr Fressen von Gras und Schößlingen bewahrt die Heide vor der “Verwaldung”, schafft Lichtungen und Grünflächen, eben eine “Heide”.
Das entstehen von freigefressenen Terrains hat so über die Jahrhunderte eine Landschaft entstehen lassen, die ihre Gestalt aus dieser Symbiose herleitet. Aber nicht nur dieses Zusammenspiel ist erkennbar, die willenlosen Schafe sind ein dankbares Anschauungsbeispiel, um kollektive Handlungstrategien jenseits von Egosimen zu studieren.

Nun reicht es uns Menschen ja nicht, einfach hinzuschauen und verstehen zu lernen. So haben wir im Rechner ein Werkzeug entworfen, die weidenden Schafe und die ruhende Landschaft durch eine lernfähige Struktur zu analysieren und kategorisieren. Diese Software lernt von der Landschaft und von 598 Schafen – aufgenommen von einer Videokamera auf einem Kran, so als wären wir Menschen allwissend aus einer Wolke schauend.

Es entsteht eine neue, künstliche Landschaft, die es ermöglicht, Eigenschaften des Gesehenen wahrzunehmen, die aufgrund der Bewegungen der Schafe durch die Heide erkennbar werden, aber im Einzelbild nicht offensichtlich sind.

zur Software:
Die bishergie Software berechnet Differenzbilder vom aktuellen Bild eines Videos zu einem Referenzbild, um so Bewegungen fest zu stellen. Sie enthält weiterhin eine Art neuronales Netz, dessen Neuronen sich einzeln an die Differenzwerte jedes einzelnen Bildpunktes anpassen. Jeder Bildpunkt entspricht einem Neuron. Diese Software soll weiter entwickelt werden, so dass jedes Neuron nicht nur einzeln für sich den ihm zugewiesenen Bildpunkt lernt. Es sollen zusätzlich die Nachbarschaftsbeziehungen sowohl der Bildpunkte als auch der Neuronen mit einfließen. Dadurch entsteht ein selbst organisierendes System, Neuronen, die schon bestimmte Differenzwerte gelernt haben, fühlen sich zu ähnlichen Werten stärker angezogen. Sie lernen diese stärker mit. Somit werden sich Bereiche innerhalb des neuronalen Netzes ausbilden, die einerseits ähnlichen Differenzwerten entsprechen andererseits aber auch immer noch an den Ort der jeweiligen Bildpunkte gebunden sind.
August 2009
Programmierung: Matthias Weber, Sebastian Stang
Sound: Maximilian Netter, Sebastian Stang

double helix swing [2006]

an installation for swarms of midges on the banks of lakes and other bodies of water

Double Helix Swing



idea | Installation | video & images | software | technique | Autoren | doku (PDF, 1MB)


the idea

double helix swing is an installation which investigates the swarms of midges that can be found on the banks of lakes and other bodies of water. Swarms of midges are intriguing entities: without any apparent logic theyform at irregular intervals along the bank: towers of midges flying in circles – although it seems that their flight path is in fact angular. It is as though they fly in one direction, then they suddenly stop and fly off in another. Each swarm develops its own speed and rhythm. And each swarm formsitself into an axis which is circled by the midges in both directions: a flying double-helix.
The swarms are made up of male midges aiming to attract females for mating.Attraction and courtshipoccurs by wing beat which differs between the male and female insects. Based on these characteristics a video and sound installation is to be developed.

In order to observethe swarms they will be attracted by sounds of the female wing beat. Various sound sources (loud speakers) will be distributed at intervals in shallow water. At a suitable distance from the sound source a video camera will be located on the bank to record any swarms which may form. The camera is set up on a platform which can be accessed from the bank.Passers-by can approach thecamera and look for the swarms in the viewfinder. If a camera detects a formation it then remains still, a video image is recorded and is sent to a central computer.

screen prints of the indoor installation:

double helix screen print

doublehelix00

installation view at the Wallraf-Richartz-Museum Cologne, october 2006:

Double Helix Swing

top

the set up

a series of loudspeakers were placed on a platform situated over shallow water to emit the sounds of the beating of a female mosquitos wings. A video camera, located at a certain distance from the source of the loudspeakers, records images of the swarms that are produced. These images are sent to a computer that analyses the movements and visualises them on the screen in the form of traces.

Double Helix Swing

dagmar_hinten_s

dagmar_p_s

The camera ist build to be used by passers-by, they can locate possible swarms by adjusting the camera (turning, zooming etc.).

Double Helix Swing

The loudspeakers around the camera emit the sounds of various insects’ wing beats. Using the switch, passers-by can try attracting insects using the wing beat sounds of the females of different species.

indoor installation

A specially designed console provides different options for interacting with the virtual world.

Double Helix Swing

installation view at the Wallraf-Richartz-Museum Cologne, october 2006:

Double Helix Swing
top

installation (indoor), Linz 2006:

installation (video), Linz 2006:

top

images

Double Helix Swing
top

the software

The virtual world consists of three layers:

  1. the video of the midges, which runs in the background.
  2. the tracks of the midges, which are signified as nutrition (these are green tracks).
  3. the virtual creatures searching for and eating the tracks of the midges

The creatures, survival depends primarily on the video, coming from the outdoor camera.
The form of the tracks generates a structure which serves as “food” to a number of virtual creatures. These virtual creatures are capable of evolving, so adapting better and better to the tracks generated by the movements of the real mosquitoes. The behaviour of the virtual creatures depends, therefore, on the real environment, but is also conditioned internally by a virtual “genetic code” of programming and behaviour. This code can in turn be manipulated by the user of the installation.

Double Helix Swing

The intake of nutrition is regulated by a buffer, which stores all the food (that is the tracks) of the midges. The creatures have a variable food search radius. This radius depends on the velocity of the creatures. If they move fast, the search radius doesn’t have to be so big as when they are more or less immobile.
The creatures never eat all the food at once. As they eat only a certain percentage of the food found, they are able to remember where nutrition is located. The amount of food depends on the number of things moving on the video, coming from the camera. Using the sound, a feedback loop is produced: if there is too much food on the screen, the sound from the loudspeakers is muted or just changed, so that the midges are no longer attracted.

The creatures develop different forms. Every animal has a virtual gene, which defines its movement and its form. The form comprises the number of legs, the density of cells and the density of branches per node.
In the beginning there are three different types of creatures, but later on visitors can define new ones. If a creatures is replicated, a random operation defines whether the animal will be changed or not. Then, another random operation partially changes the animal’s code. While the creature is young, it will only have a few cells. But as it grows, it follows the form which is predefined in the gene. It grows until a certain, adjustable energy level is reached. Then it gives birth to several new creatures.

If the creature becomes big, it is possible that the cells will pull in different directions. Then the creature breaks in two. Both parts survive, one of them with the original code, the other with the new small form gene.

top

technique:

The installation can be shown as an indoor installation with or without the camera. The camera can be shown outdoor during summer closed to rivers or lakes. But it can also be shown indoor. Then, a virtual world is shown on the screen in which the visitors can search for swarms of midges.

For the installation without the camera you need:

  • 1 Linux-PC 3,2 GHz, 1 GB Ram, 3D-accelerated graphic card, soundcard (has to be shiped)
  • 1 stand (has to be shiped)
  • 1 Video Projectore
  • 2 Soundboxes (activ)

For the camera the following material is needed:

  • Camera (special design, has to be shiped)
  • 1 Linux-PC 3,2 GHz, approx. 1 GB Ram, mp2-encoder videocard, receiver
  • Switcher for loudspeakers
  • 5 loudspeakers

top

authors:

Concept: Ursula Damm
Programming: Christian Kessler
Sound: Yunchul Kim