Print Email Facebook Twitter A Day in a Wheelchair Title A Day in a Wheelchair Author Shah, Dhaval (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Venkatesha Prasad, Ranga Rao (mentor) Kortuem, Gerd (graduation committee) Bourgeois, Jacky (graduation committee) Degree granting institution Delft University of Technology Date 2019-06-17 Abstract Advances in sensing and machine learning technologies give rise to personal health coaches that monitor human activities and support healthy behaviour. In this context, wheelchair users can benefit from such technologies as they often suffer from physical ailments due to insufficient or over activity, prolonged improper posture and lack of postural changes. While sitting posture is a well-studied area, current works focus on the recognition of less frequent postures and miss important postures such as slouching and pelvic postures. The benefits gained from activity tracking also remain restricted to able bodied individuals. In this thesis we demonstrate an end-to-end, multimodal, wheelchair sitting posture and activity monitoring system facilitating just-in-time feedback on postural changes. By using an earable to monitor activity and head posture with a complementary filter and performing classification using Force Sensitive Resistors, we show faster and more precise recognition of relevant postures and activity. Subject wheelchairearablesensor fusionwearablepostureclassificationactivity tracker To reference this document use: http://resolver.tudelft.nl/uuid:e6cce86f-73f2-419b-bb88-1b4369f988d7 Part of collection Student theses Document type master thesis Rights © 2019 Dhaval Shah Files PDF thesisDraft.pdf 18.07 MB Close viewer /islandora/object/uuid:e6cce86f-73f2-419b-bb88-1b4369f988d7/datastream/OBJ/view