Self‐Powered Gesture Recognition Wristband Enabled by Machine Learning for Full Keyboard and Multicommand Input

Author:

Tan Puchuan12,Han Xi23,Zou Yang24,Qu Xuecheng25,Xue Jiangtao24,Li Tong23,Wang Yiqian23,Luo Ruizeng23,Cui Xi25,Xi Yuan12,Wu Le6,Xue Bo6,Luo Dan2ORCID,Fan Yubo1,Chen Xun6,Li Zhou2357ORCID,Wang Zhong Lin258

Affiliation:

1. Beijing Advanced Innovation Centre for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education School of Biological Science and Medical Engineering Beihang University Beijing 100191 P. R. China

2. CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro‐nano Energy and Sensor Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences Beijing 101400 P. R. China

3. Center on Nanoenergy Research School of Physical Science and Technology Guangxi University Nanning 530004 P. R. China

4. School of Life Science Institute of Engineering Medicine Beijing Institute of Technology Beijing 100081 P. R. China

5. School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing 100049 P. R. China

6. Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei Anhui 230026 P. R. China

7. Institute for Stem Cell and Regeneration Chinese Academy of Sciences Beijing 100101 P. R. China

8. School of Materials Science and Engineering Georgia Institute of Technology Atlanta GA 30332 USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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