作者: K. M. Vamsikrishna , Debi Prosad Dogra , Harish Bhaskar
DOI: 10.1109/ICASSP.2016.7471795
关键词:
摘要: Physical rehabilitation under close supervision of experts is often recommended to patients suffering from cervical pain and join related injuries. However, complete supervised may not be possible due various socio-economical parameters. On the other hand, unsupervised lead post-injury complications. In this paper, we propose a pattern classification based method understand head movement that necessary recognize unusual patterns during spine rehabilitation. The proposed system takes help Kalman filter fuse data acquired through camera motion sensors. Patterns fused signals represent displacement left-right front-back movements with respect central axes parallel coronal sagittal planes. Normal abnormal are thereby represented using time series describes temporal change in angle on above Experimental validation has been done collected several users. It observed that, our methodology can precisely detect abnormalities