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Gait cycle spectrogram analysis using a torso-attached inertial sensor

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4 Author(s)
Mitchell Yuwono ; Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, 2007, NSW, Australia ; Steven W. Su ; Bruce D. Moulton ; Hung T. Nguyen

Measurement of gait parameters can provide important information about a person's health and safety. Automatic analysis of gait using kinematic sensors is a newly emerging area of research. We describe a new way to detect walking, and measure gait cadence, by using time-frequency signal processing together with spectrogram analysis of signals from a chest-worn inertial measurement unit (IMU). A pilot study of 11 participants suggests that this method is able to distinguish between walk and non-walk activities with up to 88.70% sensitivity and 97.70% specificity. Limitations of the method include instability associated with manual fine-tuning of local and global threshold levels.

Published in:

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 28 2012-Sept. 1 2012