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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
Pages498-502
Number of pages5
DOIs
Publication statusPublished - Aug 24 2011
Externally publishedYes
Event2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China
Duration: Jun 8 2011Jun 10 2011

Conference

Conference2011 International Conference on System Science and Engineering, ICSSE 2011
CountryChina
CityMacao
Period6/8/116/10/11

Fingerprint

Detectors
Accelerometers
Autocorrelation

Keywords

  • accelerometer
  • accelerometry
  • gait
  • mobility
  • Parkinson's disease

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

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. In Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 (pp. 498-502). [5961954] https://doi.org/10.1109/ICSSE.2011.5961954

Real-time gait cycle parameters recognition using a wearable motion detector. / Yang, Che Chang; Hsu, Yeh Liang; Lu, Jun Ming; Shih, Kao Shang; Chan, Lung.

Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011. 2011. p. 498-502 5961954.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, CC, Hsu, YL, Lu, JM, Shih, KS & Chan, L 2011, Real-time gait cycle parameters recognition using a wearable motion detector. in Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011., 5961954, pp. 498-502, 2011 International Conference on System Science and Engineering, ICSSE 2011, Macao, China, 6/8/11. https://doi.org/10.1109/ICSSE.2011.5961954
Yang CC, Hsu YL, Lu JM, Shih KS, Chan L. Real-time gait cycle parameters recognition using a wearable motion detector. In Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011. 2011. p. 498-502. 5961954 https://doi.org/10.1109/ICSSE.2011.5961954
Yang, Che Chang ; Hsu, Yeh Liang ; Lu, Jun Ming ; Shih, Kao Shang ; Chan, Lung. / Real-time gait cycle parameters recognition using a wearable motion detector. Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011. 2011. pp. 498-502
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