ICRA 2022poster12 citations

Sen-Glove: A Lightweight Wearable Glove for Hand Assistance with Soft Joint Sensing

Linan Deng, Yi Shen, Yang Hong, Yunlong Dong, Xin He, Ye Yuan, Zhi Li, Han Ding

Abstract

Perception and portability are critical issues for wearable gloves in hand assistive engineering. However, available wearable gloves either lack flexible sensing or are bulky. In this paper, we present a tendon-driven lightweight wearable glove with soft joint sensing, Sen-Glove. Sen-Glove is equipped with 14 soft strain sensors, which enables full bending motion monitoring of 14 joints of five fingers and greatly reduces the weight of the glove. Besides, modular design makes Sen-Glove more compact and weighs 161g in total, reducing the burden on hand. A series of mechanical tests are conducted to evaluate the characteristics of Sen-Glove. Experimental results show that Sen-Glove can withstand 500 bending cycles, assist the subject in grasping 21 multi-scale objects, and recognize 11 gestures. The classification accuracy of 11 different gestures reaches 98.6 %, which verifies the efficacy of the strain sensors.

BibTeX
@inproceedings{icra2022_senglovealightwe,
  title = {Sen-Glove: A Lightweight Wearable Glove for Hand Assistance with Soft Joint Sensing},
  author = {Linan Deng and Yi Shen and Yang Hong and Yunlong Dong and Xin He and Ye Yuan and Zhi Li and Han Ding},
  booktitle = {ICRA 2022},
  year = {2022}
}
Sen-Glove: A Lightweight Wearable Glove for Hand Assistance with Soft Joint Sensing · ICRA 2022