摩擦电效应
软件可移植性
手势
纳米发生器
计算机科学
人机交互
接口(物质)
手势识别
人工智能
工程类
电气工程
电压
最大气泡压力法
气泡
复合材料
并行计算
材料科学
程序设计语言
作者
Sophia Shen,Xiao Xiao,Junyi Yin,Xiao Xiao,Jun Chen
标识
DOI:10.1002/smtd.202200830
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.
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