Please use this identifier to cite or link to this item: https://doi.org/10.1126/sciadv.aaz8693
Title: Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications
Authors: Zhu, Minglu
Sun, Zhongda
Zhang, Zixuan 
Shi, Qiongfeng 
He, Tianyiyi 
Liu, Huicong
Chen, Tao
Lee, Chengkuo 
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
ROBOT
SENSORS
SKIN
PRESSURE
JOINT
Issue Date: 1-May-2020
Publisher: AMER ASSOC ADVANCEMENT SCIENCE
Citation: Zhu, Minglu, Sun, Zhongda, Zhang, Zixuan, Shi, Qiongfeng, He, Tianyiyi, Liu, Huicong, Chen, Tao, Lee, Chengkuo (2020-05-01). Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications. SCIENCE ADVANCES 6 (19). ScholarBank@NUS Repository. https://doi.org/10.1126/sciadv.aaz8693
Abstract: Human-machine interfaces (HMIs) experience increasing requirements for intuitive and effective manipulation. Current commercialized solutions of glove-based HMI are limited by either detectable motions or the huge cost on fabrication, energy, and computing power. We propose the haptic-feedback smart glove with triboelectric-based finger bending sensors, palm sliding sensor, and piezoelectric mechanical stimulators. The detection of multidirectional bending and sliding events is demonstrated in virtual space using the self-generated triboelectric signals for various degrees of freedom on human hand. We also perform haptic mechanical stimulation via piezoelectric chips to realize the augmented HMI. The smart glove achieves object recognition using machine learning technique, with an accuracy of 96%. Through the integrated demonstration of multidimensional manipulation, haptic feedback, and AI-based object recognition, our glove reveals its potential as a promising solution for low-cost and advanced human-machine interaction, which can benefit diversified areas, including entertainment, home healthcare, sports training, and medical industry.
Source Title: SCIENCE ADVANCES
URI: https://scholarbank.nus.edu.sg/handle/10635/189680
ISSN: 23752548
DOI: 10.1126/sciadv.aaz8693
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