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arXiv · 1712.04961

Real-time Egocentric Gesture Recognition on Mobile Head Mounted Displays

Rohit Pandey·Marie White·Pavel Pidlypenskyi·Xue Wang·Christine Kaeser-Chen
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Abstract

Mobile virtual reality (VR) head mounted displays (HMD) have become popular among consumers in recent years. In this work, we demonstrate real-time egocentric hand gesture detection and localization on mobile HMDs. Our main contributions are: 1) A novel mixed-reality data collection tool to automatic annotate bounding boxes and gesture labels; 2) The largest-to-date egocentric hand gesture and bounding box dataset with more than 400,000 annotated frames; 3) A neural network that runs real time on modern mobile CPUs, and achieves higher than 76% precision on gesture recognition across 8 classes.

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Rohit Pandey, Marie White, Pavel Pidlypenskyi, Xue Wang, Christine Kaeser-Chen. 2017-12-13. Real-time Egocentric Gesture Recognition on Mobile Head Mounted Displays. https://arxiv.org/abs/1712.04961

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