@article{ahuja2021coolmoves,
author = {Ahuja, Karan and Ofek, Eyal and Gonzalez Franco, Mar and Holz, Christian and Wilson, Andrew D.},
title = {CoolMoves: User Motion Accentuation in Virtual Reality},
year = {2021},
month = {June},
abstract = {Current Virtual Reality (VR) systems are bereft of stylization and embellishment of the user’s motion - concepts that have been well explored in animations for games and movies. We present CoolMoves, a system for expressive and accentuated full-body
motion synthesis of a user’s virtual avatar in real-time, from the limited input cues afforded by current consumer-grade VR systems, specifically headset and hand positions. We make use of existing motion capture databases as a template motion
repository to draw from. We match similar spatio-temporal motions present in the database and then interpolate between them using a weighted distance metric. Joint prediction probability is then used to temporally smooth the synthesized motion,
using human motion dynamics as a prior. This allows our system to work well even with very sparse motion databases (e.g., with only 3-5 motions per action). We validate our system with four experiments: a technical evaluation of our quantitative
pose reconstruction and three additional user studies to evaluate the motion quality, embodiment and agency.},
url = {http://approjects.co.za/?big=en-us/research/publication/coolmoves-user-motion-accentuation-in-virtual-reality/},
pages = {1-23},
journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
volume = {5},
number = {2},
}