EMG / motion capture-based accessible music interfaces for rehabilitation
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- dc.contributor.author Dieckmann, Max
- dc.date.accessioned 2021-01-26T10:35:08Z
- dc.date.available 2021-01-26T10:35:08Z
- dc.date.issued 2020-07
- dc.description Treball fi de màster de: Master in Cognitive Systems and Interactive Mediaca
- dc.description Directors: Rafael Ramirez Meléndez, Sergio Iván Giraldo Mendez
- dc.description.abstract We extended the functionality of SoundControl — a software that uses machine learning to turn sensor data into sound — to include support for the Myo sensor. This armband includes EMG-sensors, as well as an accelerometer and a gyroscope, which can be used to detect hand gestures and the spacial position of the arm. With SoundControl, the user can train the software to recognize movements and gestures of their choosing, which then triggers a sound they previously linked to it, effectively creating a custom instrument. Intending to test its potential for artistic purposes, we conducted a pilot study where we analyzed the ability of our subjects to keep in rhythm with a metronome beat. We compared their performance to similar studies where the subjects were tapping to a beat. We found that when using our program, the subjects performance only diminished slightly during the simple tasks but that the potential of our tool is limited by the problems arising when more complex play patterns are attempted. We used our results to critically examine its potential as a tool for stroke rehabilitation and concluded that it could be applied successfully to that end.ca
- dc.format.mimetype application/pdf*
- dc.identifier.uri http://hdl.handle.net/10230/46267
- dc.language.iso engca
- dc.rights This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licenseca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0*
- dc.subject.keyword Machine Learning
- dc.subject.keyword Music Therapy
- dc.subject.keyword Myo
- dc.subject.keyword SoundControl
- dc.subject.keyword Stroke
- dc.title EMG / motion capture-based accessible music interfaces for rehabilitationca
- dc.type info:eu-repo/semantics/masterThesisca