@inproceedings{9f8abc0852674ebc8136bd3fa6d0c385,
title = "Hand motion prediction for just-in-time thermo-haptic feedback",
abstract = "This paper presents two innovative design solutions for thermal feedback displays in virtual environments. First solution is aiming to eliminate or decrease the time delay between the user action and onset of the thermal feedback using Machine Learning for user motion prediction. Second is the design of compact but efficient water cooling system necessary to provide cold sensations using peltier elements. Presented thermal display is wearable and battery powered.",
keywords = "Haptic feedback, Machine learning, Motion prediction, Neural networks, Thermal feedback, Virtual reality",
author = "George Chernyshov and Kirill Ragozin and Cedric Caremel and Kai Kunze",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 ; Conference date: 28-11-2018 Through 01-12-2018",
year = "2018",
month = nov,
day = "28",
doi = "10.1145/3281505.3281573",
language = "English",
series = "Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST",
publisher = "Association for Computing Machinery",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - VRST 2018",
}