Real-time gait cycle parameters recognition using a wearable motion detector

Che Chang Yang, Yeh Liang Hsu, Jun Ming Lu, Kao Shang Shih, Lung Chan

研究成果: 書貢獻/報告類型會議貢獻

9 引文 斯高帕斯(Scopus)

摘要

This paper presents the use of an accelerometry-based wearable motion detector for real-time recognizing gait cycle parameters of Parkinson's disease (PD) patients. The wearable motion detector uses a tri-axial accelerometer to measure trunk accelerations during walking. By using the autocorrelation procedure, several gait cycle parameters including cadence, gait regularity, and symmetry can be derived in real-time from the measured trunk acceleration data. The gait cycle parameters derived from 5 elder PD patients and 5 young healthy subjects are also compared. The measures of the gait cycle parameters between the PD patients and the healthy subjects are distinct and therefore can be quantified and distinguished, which indicates that detection of abnormal gaits of PD patients in real-time is also possible. The wearable motion detector developed in this paper is a practical system that enables quantitative and objective mobility assessment. The possible applications of this system are also discussed.
原文英語
主出版物標題Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
頁面498-502
頁數5
DOIs
出版狀態已發佈 - 八月 24 2011
對外發佈Yes
事件2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, 中国
持續時間: 六月 8 2011六月 10 2011

會議

會議2011 International Conference on System Science and Engineering, ICSSE 2011
國家中国
城市Macao
期間6/8/116/10/11

    指紋

ASJC Scopus subject areas

  • Control and Systems Engineering

引用此

Yang, C. C., Hsu, Y. L., Lu, J. M., Shih, K. S., & Chan, L. (2011). Real-time gait cycle parameters recognition using a wearable motion detector. 於 Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 (頁 498-502). [5961954] https://doi.org/10.1109/ICSSE.2011.5961954