ExerciseTrak: Reconstructing Arm Posture for Upper-Body Exercises using a Wrist-Mounted Motion Sensing Device

dc.contributor.author	Wang, Nianyi
dc.contributor.chair	Zhang, Cheng
dc.contributor.committeeMember	Cardie, Claire
dc.date.accessioned	2020-08-10T20:07:27Z
dc.date.available	2020-08-10T20:07:27Z
dc.date.issued	2020-05
dc.description	50 pages
dc.description.abstract	Although the study of using body worn sensors and smartwatch to track human body movements has been discussed for decades, and there are numerous devices to help people tracking their activities and provide feedback of their movements. We introduce ExerciseTrak, a wearable system using a commodity smartwatch, which can continuously reconstruct the 3D posture of a single arm for 15 types of common arm exercises and provide visualization to help users adjust movements.
dc.identifier.doi	https://doi.org/10.7298/czfx-5676
dc.identifier.other	Wang_cornell_0058O_10880
dc.identifier.other	http://dissertations.umi.com/cornell:10880
dc.identifier.other	bibid: 13254344
dc.identifier.uri	https://hdl.handle.net/1813/70268
dc.language.iso	en
dc.relation.localuri	https://catalog.library.cornell.edu/catalog/13254344
dc.title	ExerciseTrak: Reconstructing Arm Posture for Upper-Body Exercises using a Wrist-Mounted Motion Sensing Device
dc.type	dissertation or thesis
dcterms.license	https://hdl.handle.net/1813/59810
thesis.degree.discipline	Computer Science
thesis.degree.grantor	Cornell University
thesis.degree.level	Master of Science
thesis.degree.name	M.S., Computer Science

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