@inproceedings{f7668bfffd544145a7701f3e9cba4aae,
title = "Sensory-Glove-Based Human Machine Interface for Augmented Reality (AR) Applications",
abstract = "We propose a glove based Human Machine Interface (HMI) designed for Virtual Reality (VR) and Augmented Reality (AR) applications. The proposed sensory glove uses facile designed triboelectric sensors to realize multi-dimensional motion recognition of gestures, and piezoelectric mechanical stimulators are also equipped for achieving the haptic feedback to user regarding the interactive events from virtual world. The developed HMI leverages machine learning technology to achieve real time object recognition, hence, we can manipulate virtual objects in VR/AR space by projecting sensory information from glove.",
keywords = "Triboelectric, augmented reality, human machine interface, machine learning, piezoelectric",
author = "Minglu Zhu and Zhongda Sun and Zixuan Zhang and Qiongfeng Shi and Tao Chen and Huicong Liu and Chengkuo Lee",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 33rd IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2020 ; Conference date: 18-01-2020 Through 22-01-2020",
year = "2020",
month = jan,
doi = "10.1109/MEMS46641.2020.9056153",
language = "英语",
series = "Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "16--19",
booktitle = "33rd IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2020",
address = "美国",
}