Hand Gesture Recognition through Reflected Infrared Light Wave Signals
Abstract
In this study, we present a wireless (non-contact) gesture recognition method using only incoherent light wave signals reflected from a human subject. In comparison to existing radar, light shadow, sound and camera-based sensing systems, this technology uses a low-cost ubiquitous light source (e.g., infrared LED) to send light towards the subject's hand performing gestures and the reflected light is collected by a light sensor (e.g., photodetector). This light wave sensing system recognizes different gestures from the variations of the received light intensity within a 20-35cm range. The hand gesture recognition results demonstrate up to 96% accuracy on average. The developed system can be utilized in numerous Human-computer Interaction (HCI) applications as a low-cost and non-contact gesture recognition technology.
Keywords
Cite
@article{arxiv.2301.05955,
title = {Hand Gesture Recognition through Reflected Infrared Light Wave Signals},
author = {Md Zobaer Islam and Li Yu and Hisham Abuella and John F. O'Hara and Christopher Crick and Sabit Ekin},
journal= {arXiv preprint arXiv:2301.05955},
year = {2023}
}
Comments
5 pages, 6 figures, 2 tables, Accepted, presented and camera-ready version submitted at ICEEE 2023 at Istanbul, Turkey. arXiv admin note: substantial text overlap with arXiv:2007.08178