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

arXiv: https://arxiv.org/abs/2410.19486 · HTML: https://mlsanity.com/paper/2410.19486/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 9 references that are in the map.
- First posted on arXiv 25 Oct 2024.

## Builds on (most cited first, 4 of 4)

- [Event-based Vision: A Survey](https://mlsanity.com/paper/1904.08405/) (2019)
- [Analysis of the hands in egocentric vision: A survey](https://mlsanity.com/paper/1912.10867/) (2019)
- [Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities](https://mlsanity.com/paper/1811.07802/) (2018)
- [Egocentric Gesture Recognition for Head-Mounted AR devices](https://mlsanity.com/paper/1808.05380/) (2018)

## Abstract (arXiv)

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.