X-RAGE: EXTENDED REALITY – ACTION & GESTURE EVENTS DATASET
INDIAN INSTITUTE OF TECHNOLOGY, META REALITY LABS RESEARCH
Vivek Parmar, Dwijay Bane, Syed Shakib Sarwar, Kleber Stangherlin, Barbara De Salvo, Manan Suri
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.
