Title :
Self-physical rehabilitation system using the microsoft kinect
Author :
Patanapanich, Makawat ; Vanijja, Vajirasak ; Dajpratham, Piyapat
Author_Institution :
Fac. of Inf. Technol., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
Abstract :
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.
Keywords :
image motion analysis; image sensors; medical image processing; patient rehabilitation; Microsoft Kinect; SPRS; chair stands; hip extension; hip flexion; knee flexion; medical service; movement detection; patient motion detection; patient rehabilitation; physical therapies; plantar flexion; self-physical rehabilitation system; side leg raise; side walk; tandem walk; timed Up&Go; Accuracy; Foot; Hip; Joints; Medical treatment; Testing; Training; home rehab; kinect; motion detection; self-physical rehabilitation;
Conference_Titel :
Information Technology Systems and Innovation (ICITSI), 2014 International Conference on
DOI :
10.1109/ICITSI.2014.7048271