Abstract
The workshop explores how interactive technologies based on biophysical
sensing and analysis can help create deeper connections
with the surrounding world and one another, by combining the latest
affect-indicating biosensors with somatic practices and creative
expression. The workshop incorporates cutting edge biophysical
sensing measurement technologies to explore new modes of artistic
expression that directly gauge human affect as an integral component
in the creation of an art work or performance. The goal is to
explore how real-time tracking of a participant’s affective state can
be used as an interactive modality in performance and computational
art. Human affect data is gathered from a custom biophysical
sensing acquisition and analysis system called, The Source. Data is
accessed in real-time using custom software tools built on popular
platforms such as Arduino, Max/MSP, SuperCollider, Ableton Live,
TouchDesigner, and Processing. Physiological measures, including
Electrocardiography (ECG, heart rate), Electrodermal Activity
(EDA), Electromyography (EMG, muscle), Electroencephalography
(EEG, brain waves), Electrooculography (EOG, eye movement), and
Respiratory effort (RSP, breathing) can be incorporated. During the
workshop, we will explore the potential for creative uses, as well as
more applied contexts to support physical therapy, group training
and experiences.
sensing and analysis can help create deeper connections
with the surrounding world and one another, by combining the latest
affect-indicating biosensors with somatic practices and creative
expression. The workshop incorporates cutting edge biophysical
sensing measurement technologies to explore new modes of artistic
expression that directly gauge human affect as an integral component
in the creation of an art work or performance. The goal is to
explore how real-time tracking of a participant’s affective state can
be used as an interactive modality in performance and computational
art. Human affect data is gathered from a custom biophysical
sensing acquisition and analysis system called, The Source. Data is
accessed in real-time using custom software tools built on popular
platforms such as Arduino, Max/MSP, SuperCollider, Ableton Live,
TouchDesigner, and Processing. Physiological measures, including
Electrocardiography (ECG, heart rate), Electrodermal Activity
(EDA), Electromyography (EMG, muscle), Electroencephalography
(EEG, brain waves), Electrooculography (EOG, eye movement), and
Respiratory effort (RSP, breathing) can be incorporated. During the
workshop, we will explore the potential for creative uses, as well as
more applied contexts to support physical therapy, group training
and experiences.
Originalsprog | Engelsk |
---|---|
Titel | Proceedings of the 9th International Conference on Movement and Computing : MOCO 2024 Beyond Control |
Antal sider | 3 |
Forlag | Association for Computing Machinery (ACM) |
Publikationsdato | 30 maj 2024 |
Artikelnummer | 33 |
ISBN (Elektronisk) | 979-8-4007-0994-4 |
DOI | |
Status | Udgivet - 30 maj 2024 |
Begivenhed | MOCO '24: 9th International Conference on Movement and Computing - Utrecht University, Utrecht, Holland Varighed: 30 maj 2024 → 2 jun. 2024 Konferencens nummer: 9 https://moco24.movementcomputing.org/ |
Konference
Konference | MOCO '24 |
---|---|
Nummer | 9 |
Lokation | Utrecht University |
Land/Område | Holland |
By | Utrecht |
Periode | 30/05/2024 → 02/06/2024 |
Internetadresse |