A TENG Finger Sensor Enabled Human-Machine Interface for VR Applications

A wireless, triboelectric nanogenerator (TENG) sensor enabled handle-like human-machine interface (HMI) is proposed to capture finger motions and manipulate game objects in virtual reality. By utilizing advanced signal processing methods including logarithmic transform and integration, peak-like TENG signals are transformed into stage-like signals to achieve continuous control. Haptic feedback supported by vibrators can bring better game experiences to players. Finally, a gesture recognition system based on processed sensor signals is also developed to categorize 10 common gestures.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10903096
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37
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article

A TENG Finger Sensor Enabled Human-Machine Interface for VR Applications

Zhongda Sun, Chuyang Wu
1 citations
Hand Gesture Recognition Systems
0.37
article

A TENG Finger Sensor Enabled Human-Machine Interface for VR Applications

Zhongda Sun, Chuyang Wu
article en
1 citations

Abstract

A wireless, triboelectric nanogenerator (TENG) sensor enabled handle-like human-machine interface (HMI) is proposed to capture finger motions and manipulate game objects in virtual reality. By utilizing advanced signal processing methods including logarithmic transform and integration, peak-like TENG signals are transformed into stage-like signals to achieve continuous control. Haptic feedback supported by vibrators can bring better game experiences to players. Finally, a gesture recognition system based on processed sensor signals is also developed to categorize 10 common gestures.

Tianjin University (CN), National University of Singapore (SG)
Openalex Percentile: Top 34%
Hand Gesture Recognition Systems
0.37
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