Sensors 2013, 13(10), 13334-13355; doi:10.3390/s131013334
Article

Lower Limb Wearable Capacitive Sensing and Its Applications to Recognizing Human Gaits

1 Intelligent Control Laboratory, College of Engineering, Peking University, Beijing 100871, China 2 Motion Control Laboratory, Department of Psychology, Peking University, Beijing 100871, China
* Author to whom correspondence should be addressed.
Received: 31 July 2013; in revised form: 10 September 2013 / Accepted: 25 September 2013 / Published: 1 October 2013
(This article belongs to the Special Issue Wearable Gait Sensors)
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Abstract: In this paper, we present an approach to sense human body capacitance and apply it to recognize lower limb locomotion modes. The proposed wearable sensing system includes sensing bands, a signal processing circuit and a gait event detection module. Experiments on long-term working stability, adaptability to disturbance and locomotion mode recognition are carried out to validate the effectiveness of the proposed approach. Twelve able-bodied subjects are recruited, and eleven normal gait modes are investigated. With an event-dependent linear discriminant analysis classifier and feature selection procedure, four time-domain features are used for pattern recognition and satisfactory recognition accuracies (97:3% ± 0:5%, 97:0% ± 0:4%, 95:6% ± 0:9% and 97:0% ± 0:4% for four phases of one gait cycle respectively) are obtained. The accuracies are comparable with that from electromyography-based systems and inertial-based systems. The results validate the effectiveness of the proposed lower limb capacitive sensing approach in recognizing human normal gaits.
Keywords: wearable gait sensors; human body capacitance; capacitive sensing; muscle shape changes; human normal gaits; pattern recognition

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MDPI and ACS Style

Zheng, E.; Chen, B.; Wei, K.; Wang, Q. Lower Limb Wearable Capacitive Sensing and Its Applications to Recognizing Human Gaits. Sensors 2013, 13, 13334-13355.

AMA Style

Zheng E, Chen B, Wei K, Wang Q. Lower Limb Wearable Capacitive Sensing and Its Applications to Recognizing Human Gaits. Sensors. 2013; 13(10):13334-13355.

Chicago/Turabian Style

Zheng, Enhao; Chen, Baojun; Wei, Kunlin; Wang, Qining. 2013. "Lower Limb Wearable Capacitive Sensing and Its Applications to Recognizing Human Gaits." Sensors 13, no. 10: 13334-13355.

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