DataVXAdvanced MaterialsPaper
journal article·2022-05

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

Puchuan Tan, Xi Han, Yang Zou, Xuecheng Qu, Jiangtao Xue, Tong Li, Yiqian Wang, Ruizeng Luo, Xi Cui, Yuan Xi, Le Wu, Bo Xue, Dan Luo, Yubo Fan, Xun Chen, Zhou Li, Zhong Lin Wang

Advanced Materials· Volume 34· Issue 21
Publisher page
Source abstract

Abstract

Abstract Virtual reality is a brand‐new technology that can be applied extensively. To realize virtual reality, certain types of human–computer interaction equipment are necessary. Existing virtual reality technologies often rely on cameras, data gloves, game pads, and other equipment. These equipment are either bulky, inconvenient to carry and use, or expensive to popularize. Therefore, the development of a convenient and low‐cost high‐precision human–computer interaction device can contribute positively to the development of virtual reality technology. In this study, a gesture recognition wristband that can realize a full keyboard and multicommand input is developed. The wristband is convenient to wear, low in cost, and does not affect other daily operations of the hand. This wristband is based on physiological anatomy as well as aided by active sensor and machine learning technology; it can achieve a maximum accuracy of 92.6% in recognizing 26 letters. This wristband offers broad application prospects in the fields of gesture command recognition, assistive devices for the disabled, and wearable electronics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Hand Gesture Recognition Systems · Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

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

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

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

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

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

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

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

Funding

National Natural Science Foundation of China · Natural Science Foundation of Beijing Municipality · Fundamental Research Funds for the Central Universities

References (44)

Show source-provided references
1. 10.1038/s41467-021-25637-w10.1038/s41467-021-25637-w ↗
2. 10.1002/admt.20180048710.1002/admt.201800487 ↗
3. 10.1002/admt.20190092110.1002/admt.201900921 ↗
4. 10.1016/j.nanoen.2018.09.00610.1016/j.nanoen.2018.09.006 ↗
5. 10.1021/acs.chemrev.1c0050210.1021/acs.chemrev.1c00502 ↗
6. 10.1021/acsnano.1c1067610.1021/acsnano.1c10676 ↗
7. 10.1002/adfm.20210943010.1002/adfm.202109430 ↗
8. 10.1007/s12274-019-2433-510.1007/s12274-019-2433-5 ↗
9. 10.1038/s41928-020-00510-810.1038/s41928-020-00510-8 ↗
10. 10.1038/s41928-020-0422-z10.1038/s41928-020-0422-z ↗
11. 10.1007/s11042-019-7193-410.1007/s11042-019-7193-4 ↗
12. 10.1109/ACCESS.2018.288722310.1109/ACCESS.2018.2887223 ↗
13. 10.1038/s41467-019-10433-410.1038/s41467-019-10433-4 ↗
14. 10.1016/j.nanoen.2019.03.01310.1016/j.nanoen.2019.03.013 ↗
15. 10.1038/s41928-020-0428-610.1038/s41928-020-0428-6 ↗
16. 10.1016/j.nanoen.2020.10502910.1016/j.nanoen.2020.105029 ↗
17. 10.1016/j.isci.2020.10202710.1016/j.isci.2020.102027 ↗
18. 10.1016/j.mattod.2018.01.00610.1016/j.mattod.2018.01.006 ↗
19. 10.1038/s41467-020-19059-310.1038/s41467-020-19059-3 ↗
20. Li G. · Sci. Rob. · 2020 · 5 · 49
21. 10.1016/j.nanoen.2019.03.00510.1016/j.nanoen.2019.03.005 ↗
22. 10.1016/j.nanoen.2020.10499310.1016/j.nanoen.2020.104993 ↗
23. 10.1016/j.nanoen.2020.10553710.1016/j.nanoen.2020.105537 ↗
24. 10.34133/2020/715895310.34133/2020/7158953 ↗
25. 10.1002/inf2.1212210.1002/inf2.12122 ↗
26. 10.1021/acs.nanolett.0c0158410.1021/acs.nanolett.0c01584 ↗
27. 10.1016/j.nanoen.2018.09.03010.1016/j.nanoen.2018.09.030 ↗
28. 10.1039/C9TA11652D10.1039/C9TA11652D ↗
29. 10.1038/s41587-019-0045-y10.1038/s41587-019-0045-y ↗
30. 10.1002/advs.20200402310.1002/advs.202004023 ↗
31. 10.3390/s1903055310.3390/s19030553 ↗
32. 10.1016/j.nanoen.2012.01.00410.1016/j.nanoen.2012.01.004 ↗
33. 10.1002/adma.20190476510.1002/adma.201904765 ↗
34. 10.1002/adfm.20210064910.1002/adfm.202100649 ↗
35. 10.1016/j.apenergy.2020.11525010.1016/j.apenergy.2020.115250 ↗
36. 10.1088/1361-6528/ab667710.1088/1361-6528/ab6677 ↗
37. 10.1021/acs.nanolett.8b0451410.1021/acs.nanolett.8b04514 ↗
38. 10.1021/acsmaterialslett.0c0036410.1021/acsmaterialslett.0c00364 ↗
39. 10.1021/acsnano.0c0694910.1021/acsnano.0c06949 ↗
40. 10.1016/j.scib.2021.04.03510.1016/j.scib.2021.04.035 ↗
41. 10.1002/aenm.20190187510.1002/aenm.201901875 ↗
42. 10.1038/nature1453910.1038/nature14539 ↗
43. 10.1038/s41467-020-19424-210.1038/s41467-020-19424-2 ↗
44. 10.1038/s41467-020-18471-z10.1038/s41467-020-18471-z ↗