A Soft Capacitive Wearable Sensing System for Lower-Limb Motion Monitoring

  • Xingxing Ma
  • Jiajie GuoEmail author
  • Kok-Meng Lee
  • Luye Yang
  • Minghui Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11743)


Human limb motion monitoring has been a challenging task for robotic applications in unstructured environments, because traditional sensing methods are limited in conforming to compliant human bodies and adapting to unpredictable external disturbances. Motivated by the need to capture rotation angles of lower-limb joints in real time, this paper proposes a soft wearable sensing system based on a network of soft capacitive sensors that can be stretched with joint bending. The capacitance of the sensing module changes with the sensor deformations thus its deviated value from the initial installation state is closely related to the joint rotation angle. The sensor fabrication is developed with shape deposition molding, and the sensing electronics are designed to improve signal transmission and sensing robustness. The sensing system is calibrated with machine vision and its performance is evaluated in walking tests with different speeds. An illustrative example is presented to verify the proposed method capable to monitor human lower-limb motions in practice.


Lower-limb motion measurement Soft Strain Sensor Wearable robotics Sensor network Capacitive sensing 



This research was supported by the National Natural Science Foundation of China (Grant 51875221, 51505164, U1713204) and the International Science & Technology Cooperation Program of China (Grant 2016YFE0113600).


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Xingxing Ma
    • 1
  • Jiajie Guo
    • 1
    Email author
  • Kok-Meng Lee
    • 1
    • 2
  • Luye Yang
    • 1
  • Minghui Chen
    • 1
  1. 1.The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhanChina
  2. 2.George W. Woodruff School of Mechanical EngineeringGeorgia Institute of TechnologyAtlantaUSA

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