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GRAPT: A Gesture Recognition Application for Physical Therapy

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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


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