Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications

The rapid progress of Internet of things (IoT) technology raises an imperative demand on human machine interfaces (HMIs) which provide a critical linkage between human and machines. Using a glove as an intuitive and low‐cost HMI can expediently track the motions of human fingers, resulting in a stra...

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Bibliographic Details
Published in:Advanced science 2020-07, Vol.7 (14), p.2000261-n/a
Main Authors: Wen, Feng, Sun, Zhongda, He, Tianyiyi, Shi, Qiongfeng, Zhu, Minglu, Zhang, Zixuan, Li, Lianhui, Zhang, Ting, Lee, Chengkuo
Format: Article
Language:English
Subjects:
Artificial intelligence
gesture recognition
Hydrophobic surfaces
Internet of Things
Machine learning
Power supply
Robotics
Screen printing
Sensors
superhydrophobic textiles
triboelectric nanogenerators (TENGs)
virtual reality/augmented reality (VR/AR) controls
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