Real-Time Gesture Prediction Using Mobile Sensor Data for VR Applications
Published in International Journal of Machine Learning and Computing, Vol. 6, No. 3, 2016
This paper presents a real-time gesture prediction system using mobile sensor data for virtual reality applications, enabling more natural and responsive interactions within VR environments.
Recommended citation:
V. Dissanayake, S. Herath, S. Rasnayaka, S. Seneviratne, R. Vidanaarachchi and C. Gamage, “Real-Time Gesture Prediction Using Mobile Sensor Data for VR Applications,” International Journal of Machine Learning and Computing, vol. 6, no. 3, pp. 215, 2016.
BibTeX
@article{dissanayake2016real,
title={Real-time gesture prediction using mobile sensor data for vr applications},
author={Dissanayake, Vipula and Herath, Sachini and Rasnayaka, Sanka and Seneviratne, Sachith and Vidanaarachchi, Rajith and Gamage, Chandana},
journal={International Journal of Machine Learning and Computing},
volume={6},
number={3},
pages={215},
year={2016},
publisher={IACSIT Press}
}
