Publication:
Self-physical rehabilitation system using the microsoft kinect

dc.contributor.authorMakawat Patanapanichen_US
dc.contributor.authorVajirasak Vanijjaen_US
dc.contributor.authorPiyapat Dajprathamen_US
dc.contributor.otherKing Mongkuts University of Technology Thonburien_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-11-09T02:02:05Z
dc.date.available2018-11-09T02:02:05Z
dc.date.issued2014-02-24en_US
dc.description.abstract© 2014 IEEE. In this paper, We present a Self-Physical Rehabilitation System (SPRS) that assists patients to rehab correctly at home by themselves without physical therapists for solving the problem of access to medical service. SPRS uses KINECT to detect movement of patient's body while doing self-rehab and processing of data from motion detection of patients by KINECT to determine accuracy of gesture. This software that allows patients to exercises with 9 gestures of balance physical therapies which are Hip extension, Side Leg raise, Knee flexion, Hip flexion, Plantar flexion, Tandem walk, Side walk, Chair Stands, and Timed Up &Go. The results show SPRS allows patients rehab correctly with a slight error that better than exercise without assisted by software.en_US
dc.identifier.citation2014 International Conference on Information Technology Systems and Innovation, ICITSI 2014 - Proceedings. (2014), 241-247en_US
dc.identifier.doi10.1109/ICITSI.2014.7048271en_US
dc.identifier.other2-s2.0-84949926695en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/33523
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84949926695&origin=inwarden_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectComputer Scienceen_US
dc.titleSelf-physical rehabilitation system using the microsoft kinecten_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84949926695&origin=inwarden_US

Files

Collections