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Sensory-Glove-Based Human Machine Interface for Augmented Reality (AR) Applications

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PubDate: April 2020

Teams: National University of Singapore;Soochow University

Writers: Minglu Zhu; Zhongda Sun; Zixuan Zhang; Qiongfeng Shi; Tao Chen; Huicong Liu; Chengkuo Lee

PDF: 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.

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