dc.contributor.author | Macatangay, Andrei Mikail | |
dc.date.accessioned | 2019-08-16T17:36:00Z | |
dc.date.available | 2019-08-16T17:36:00Z | |
dc.date.issued | 2017-06 | |
dc.identifier.uri | http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/455 | |
dc.description.abstract | The physical therapist relies on intuition to check how close or far the patient is from performing a movement they have to perform. A personal perspective is a biased one which will not properly reflect the patient's progress. Movements can be stored in the form of accelerometer signals and because of the time series nature of these signals, the researcher is able to use Dynamic Time Warping to compare them. The scores generated by this approach will be used in determining if the patient is making progress in his rehabilitation. | en_US |
dc.language.iso | en | en_US |
dc.subject | gesture recognition | en_US |
dc.subject | accelerometer | en_US |
dc.subject | dynamic time warping | en_US |
dc.title | GRAPT: A Gesture Recognition Application for Physical Therapy | en_US |
dc.type | Thesis | en_US |