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.

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}
}