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[[File:max-osc-hello.png|300px|thumb|left|Max/MSP patcher]] | |||
''Lecturer:'' [[GMU:Mindaugas Gapševičius|Mindaugas Gapševičius]]<br> | |||
''Credits:'' 6 [[ECTS]], 2 [[SWS]]<br> | |||
''Date:'' Wednesdays, 11:00-12:30<br> | |||
''Venue:'' [[Marienstraße 7b]], [[Marienstraße 7b/204|Raum 204]]<br> | |||
''First meeting:'' Wednesday, 17th of October 11:00-12:30 | |||
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The course focuses on developing simple applications with Max/MSP/Jitter in relation to an individual organism. The goal of the course is the understanding of an electric signal passed to the human body and back into the Max. Beside the transduction of the signals we will learn how to amplify, convert, and record data for audiovisual applications and interactive performances. | The course focuses on developing simple applications with Max/MSP/Jitter in relation to an individual organism. The goal of the course is the understanding of an electric signal passed to the human body and back into the Max. Beside the transduction of the signals we will learn how to amplify, convert, and record data for audiovisual applications and interactive performances. | ||
Revision as of 18:54, 10 February 2019
Lecturer: Mindaugas Gapševičius
Credits: 6 ECTS, 2 SWS
Date: Wednesdays, 11:00-12:30
Venue: Marienstraße 7b, Raum 204
First meeting: Wednesday, 17th of October 11:00-12:30
The course focuses on developing simple applications with Max/MSP/Jitter in relation to an individual organism. The goal of the course is the understanding of an electric signal passed to the human body and back into the Max. Beside the transduction of the signals we will learn how to amplify, convert, and record data for audiovisual applications and interactive performances.
For bridging computers with own bodies we will use noninvasive techniques, such as an Arduino or alternative microcontrollers and sensors (humidity, vibration, temperature, etc.) attached to the body. The reference to the practical framework is the use of electric signals for electrotherapy, electrical muscle stimulation, or electrophysiological monitoring, which, finally, might be used to control peripheral devices.
The experiments with electric signals will develop into individual projects, documented and presented on the GMU Wiki.