Biophysical Expression, Affect & Movement (BEAM) (2024)
May 27 - May 29
Welcome to Biophysical Expression, Affect & Movement (BEAM)
Organizer: Daniel Overholt
Lecturers: Daniel Overholt (US/DK), Elizabeth Jochum (US/DK), Mark-David Hosale (US/CA), Alan Macy (US), Grisha Coleman (US), and Marco Donnarumma (DE/IT).
ECTS: 3
Date/Time: 27, 28, 29 May 2024
Deadline: 06 May 2024
Max no. of participants: 20
Enrolment: Sign up through the link
Description: Biophysical Expression, Affect & Movement (BEAM) introduces students to cutting edge research trends and technology platforms that monitor and augment human performance across both the creative industries and health sectors. The course offers hands-on workshop activities using advanced sensor technologies for physiological data, applied to real-time performance and augmented human capabilities with computation, including machine learning.
One platform to be explored is the BioMECI with guest lecturers / developers Mark-David Hosale and Alan Macy. Design and integration with other platforms will also be explored, for example Bio-X sensors integrating machine-learning approaches to multimodal human-computer interaction. The course will also include a discussion AI Ethics and Prosthetics. This course has cross-over appeal for creative computing applications (audiovisual interaction, sound and music computing) and health/rehabilitation applications (tele-health, digital health solutions/monitoring). Programming experience, Design of HCI systems, Interest in affective computing and real-time systems exploring the arts, such as music / dance & movement / visual forms of expression and/or interest in working with medical devices/sensing/health monitoring devices for training and rehabilitation.
The course will be hosted by the Sound & Music Computing research group and take place in both the Augmented Performance Lab and the Manufakturet labs. The course will be supported by reserarchers from the RELATE Research Laboratory for Art and Technology.
Prerequisites: Programming experience, Design of HCI systems, Interest in affective computing and real-time systems exploring the arts, such as music / dance & movement / visual forms of expression and/or interest in working with medical devices/sensing/health monitoring devices for training and rehabilitation.
Required Reading
Donnarumma, M. (2017). On Biophysical Music. In: Miranda, E. (eds) Guide to Unconventional Computing for Music. Springer, Cham. https://doi.org/10.1007/978-3-319-49881-2_3 (pdf)
Tanaka, A. (2019). Embodied Musical Interaction. In: Holland, S., Mudd, T., Wilkie-McKenna, K., McPherson, A., Wanderley, M. (eds) New Directions in Music and Human-Computer Interaction. Springer Series on Cultural Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-92069-6_9 (pdf)
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