From Skin Movement to Wearable Robotics: The Case of Robotic Gloves.

Journal: Soft robotics
Published Date:

Abstract

Previous research on wearable robotics focused on developing actuation mechanisms while overlooking influences of skin movement. During finger flexion, skins on the opisthenar and finger back are stretched. Impeding such skin movement will obstruct normal finger motions. In this research, a statistical study on skin movement is proposed and conducted to quantify skin movement on human hands. Results of 30 subjects (15 men and 15 women) reveal that skin at the finger back extends by an average of 29.3 ± 7.2% in fist clenching. Based on this study, design guidelines for robotic gloves are proposed, and nominal strain values at different hand regions are tabulated for references in robotic glove design. To explore the influence of skin movement on wearable robotics, an elastomer-constrained flat tube actuator is proposed based on which two prototype robotic gloves are developed: one with an ergonomic strap interface that has small constraint to skin motion, and the other based on the commonly used fabric glove that is supposed to have large constraint to skin motion. With the same power input to the robotic gloves, the strap-based design achieves a finger motion range of 2.5 times and a gripping force of 4.3 times that of the conventional fabric glove.

Authors

  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Changchun Wu
    Department of Mechanical Engineering, University of Hong Kong, Hong Kong, Hong Kong.
  • Senyuan Lin
    Department of Mechanical Engineering, University of Hong Kong, Hong Kong, Hong Kong.
  • Ning Xi
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA. Electronic address: xin@egr.msu.edu.
  • Vivian W Q Lou
    Department of Social Work and Social Administration; Sau Po Centre on Ageing, University of Hong Kong, Hong Kong, Hong Kong.
  • Yong Hu
    Big Data Decision Institute, Jinan University, Guangzhou, China.
  • Calvin K L Or
    Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong, Hong Kong.
  • Yonghua Chen
    Department of Mechanical Engineering, The University of Hong Kong , Hong Kong, China .