Self-Powered Smart Gloves Based on Triboelectric Nanogenerators

被引:25
|
作者
Shen, Sophia [1 ]
Xiao, Xiao [1 ]
Yin, Junyi [1 ]
Chen, Jun [1 ]
机构
[1] Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90095 USA
来源
SMALL METHODS | 2022年 / 6卷 / 10期
关键词
artificial intelligence; gesture recognition; gloves; human-machine interface; triboelectric nanogenerators; wearable bioelectronics; HAND GESTURE RECOGNITION; REAL-TIME; INPUT DEVICE; NANOFIBER; EVOLUTION; SYSTEM; SENSOR; IMU;
D O I
10.1002/smtd.202200830
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The hands are used in all facets of daily life, from simple tasks such as grasping and holding to complex tasks such as communication and using technology. Finding a way to not only monitor hand movements and gestures but also to integrate that data with technology is thus a worthwhile task. Gesture recognition is particularly important for those who rely on sign language to communicate, but the limitations of current vision-based and sensor-based methods, including lack of portability, bulkiness, low sensitivity, highly expensive, and need for external power sources, among many others, make them impractical for daily use. To resolve these issues, smart gloves can be created using a triboelectric nanogenerator (TENG), a self-powered technology that functions based on the triboelectric effect and electrostatic induction and is also cheap to manufacture, small in size, lightweight, and highly flexible in terms of materials and design. In this review, an overview of the existing self-powered smart gloves will be provided based on TENGs, both for gesture recognition and human-machine interface, concluding with a discussion on the future outlook of these devices.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Progress in triboelectric nanogenerators as self-powered smart sensors
    Zhang, Nannan
    Tao, Changyuan
    Fan, Xing
    Chen, Jun
    JOURNAL OF MATERIALS RESEARCH, 2017, 32 (09) : 1628 - 1646
  • [2] Progress in triboelectric nanogenerators as self-powered smart sensors
    Nannan Zhang
    Changyuan Tao
    Xing Fan
    Jun Chen
    Journal of Materials Research, 2017, 32 : 1628 - 1646
  • [3] Triboelectric nanogenerators for self-powered neurostimulation
    Xu, Shumao
    Manshaii, Farid
    Xiao, Xiao
    Yin, Junyi
    Chen, Jun
    NANO RESEARCH, 2024, 17 (10) : 8926 - 8941
  • [4] Self-powered electroporation technologies based on triboelectric nanogenerators
    Liu, Yitong
    Wang, Peng
    Wang, Congyu
    Yao, Shengxun
    Zhang, Dun
    NANO ENERGY, 2024, 123
  • [5] Advances in Smart Sensing and Medical Electronics by Self-Powered Sensors Based on Triboelectric Nanogenerators
    Jiang, Min
    Lu, Yi
    Zhu, Zhiyuan
    Jia, Wenzhu
    MICROMACHINES, 2021, 12 (06)
  • [6] Triboelectric Nanogenerators for Self-Powered Wound Healing
    Xiao, Xiao
    Nashalian, Ardo
    Libanori, Alberto
    Fang, Yunsheng
    Li, Xiyao
    Chen, Jun
    ADVANCED HEALTHCARE MATERIALS, 2021, 10 (20)
  • [7] Advances in Triboelectric Nanogenerators for Self-powered Neuromodulation
    Elsanadidy, Esraa
    Mosa, Islam M.
    Luo, Dan
    Xiao, Xiao
    Chen, Jun
    Wang, Zhong Lin
    Rusling, James F.
    ADVANCED FUNCTIONAL MATERIALS, 2023, 33 (08)
  • [8] Textile triboelectric nanogenerators for self-powered biomonitoring
    Lama, John
    Yau, Andy
    Chen, Guorui
    Sivakumar, Aditya
    Zhao, Xun
    Chen, Jun
    JOURNAL OF MATERIALS CHEMISTRY A, 2021, 9 (35) : 19149 - 19178
  • [9] Triboelectric nanogenerators for self-powered drug delivery
    Li, Xiyao
    Tat, Trinny
    Chen, Jun
    TRENDS IN CHEMISTRY, 2021, 3 (09): : 765 - 778
  • [10] Triboelectric Nanogenerators for Self-Powered Breath Monitoring
    Shen, Sophia
    Xiao, Xiao
    Xiao, Xiao
    Chen, Jun
    ACS APPLIED ENERGY MATERIALS, 2022, 5 (04) : 3952 - 3965