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

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

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, 1
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 and 1,*
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 wearable gait sensors; human body capacitance; capacitive sensing; muscle shape changes; human normal gaits; pattern recognition
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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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