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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - VRST 2018 |
| Subtitle of host publication | 24th ACM Symposium on Virtual Reality Software and Technology |
| Editors | Stephen N. Spencer |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450360869 |
| DOIs | |
| Publication status | Published - 2018 Nov 28 |
| Event | 24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 - Tokyo, Japan Duration: 2018 Nov 28 → 2018 Dec 1 |
Other
| Other | 24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 18/11/28 → 18/12/1 |
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Keywords
- Haptic feedback
- Machine learning
- Motion prediction
- Neural networks
- Thermal feedback
- Virtual reality
ASJC Scopus subject areas
- Software
Cite this
Hand motion prediction for just-in-time thermo-haptic feedback. / Chernyshov, George; Ragozin, Kirill; Caremel, Cedric; Kunze, Kai Steven.
Proceedings - VRST 2018: 24th ACM Symposium on Virtual Reality Software and Technology. ed. / Stephen N. Spencer. Association for Computing Machinery, 2018. 3281573.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Hand motion prediction for just-in-time thermo-haptic feedback
AU - Chernyshov, George
AU - Ragozin, Kirill
AU - Caremel, Cedric
AU - Kunze, Kai Steven
PY - 2018/11/28
Y1 - 2018/11/28
N2 - 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.
AB - 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.
KW - Haptic feedback
KW - Machine learning
KW - Motion prediction
KW - Neural networks
KW - Thermal feedback
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85060906705&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060906705&partnerID=8YFLogxK
U2 - 10.1145/3281505.3281573
DO - 10.1145/3281505.3281573
M3 - Conference contribution
AN - SCOPUS:85060906705
BT - Proceedings - VRST 2018
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
ER -