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arXiv · 2410.19486

x-RAGE: eXtended Reality -- Action & Gesture Events Dataset

Vivek Parmar·Dwijay Bane·Syed Shakib Sarwar·Kleber Stangherlin·Barbara De Salvo·Manan Suri
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Abstract

With the emergence of the Metaverse and focus on wearable devices in the recent years gesture based human-computer interaction has gained significance. To enable gesture recognition for VR/AR headsets and glasses several datasets focusing on egocentric i.e. first-person view have emerged in recent years. However, standard frame-based vision suffers from limitations in data bandwidth requirements as well as ability to capture fast motions. To overcome these limitation bio-inspired approaches such as event-based cameras present an attractive alternative. In this work, we present the first event-camera based egocentric gesture dataset for enabling neuromorphic, low-power solutions for XR-centric gesture recognition. The dataset has been made available publicly at the following URL: https://gitlab.com/NVM_IITD_Research/xrage.

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Vivek Parmar, Dwijay Bane, Syed Shakib Sarwar, Kleber Stangherlin, Barbara De Salvo, Manan Suri. 2024-10-25. x-RAGE: eXtended Reality -- Action & Gesture Events Dataset. https://arxiv.org/abs/2410.19486

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