Optical‐Nanofiber‐Enabled Gesture‐Recognition Wristband for Human–Machine Interaction with the Assistance of Machine Learning

Author:

Wang Shipeng1ORCID,Wang Xiaoyu1,Wang Shan1,Yu Wen2,Yu Longteng1,Hou Lei1,Tang Yao2,Zhang Zhang3,Yao Ni1,Cao Chuan1,Dong Hao1,Zhang Lei12ORCID,Bao Hujun4

Affiliation:

1. Research Center for Humanoid Sensing Zhejiang Lab Hangzhou 311121 P. R. China

2. State Key Laboratory of Modern Optical Instrumentation College of Optical Science and Engineering Zhejiang University Hangzhou 310027 P. R. China

3. Research Center for Intelligent Robotics Zhejiang Lab Hangzhou 311121 P. R. China

4. Zhejiang Lab Hangzhou 311121 P. R. China

Abstract

The metaverse, where the virtual and real world are fused, is currently under rapid development. Immersive and vivid experience in the metaverse requires human–machine interaction devices that, unlike those currently available, are simultaneously imperceptible, convenient to use, inexpensive, and safe. Herein, an optical‐nanofiber‐based gesture‐recognition wristband that can accurately recognize gestures and be used to interact with a robotic hand is proposed and realized. Requiring only three optical‐nanofiber‐based pressure sensors, the wristband is simple in structure, convenient to use, and remarkably imperceptible to the user. With the assistance of a machine‐learning algorithm, a maximum recognition accuracy of 94% is achieved for testers with different physiques. A robotic hand can be remotely controlled by the wristband through gestures. The wristband has broad application prospects and is a promising solution for advanced human–machine‐interaction devices. An interactive preprint version of the article can be found here: https://doi.org/10.22541/au.167022827.77928491/v1.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

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