Reactive Video:Adaptive Video Playback Based on User Motion for Supporting Physical Activity

Clarke, Christopher and Cavdir, Doga and Chiu, Patrick and Denoue, Laurent and Kimber, Don (2020) Reactive Video:Adaptive Video Playback Based on User Motion for Supporting Physical Activity. In: ACM Symposium on User Interface Software and Technology (UIST). ACM, New York, pp. 196-208. ISBN 9781450375146

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Abstract

Videos are a convenient platform to begin, maintain, or improve a ftness program or physical activity. Traditional video systems allow users to manipulate videos through specifc user interface actions such as button clicks or mouse drags, but have no model of what the user is doing and are unable to adapt in useful ways. We present adaptive video playback, which seamlessly synchronises video playback with the user’s movements, building upon the principle of direct manipulation video navigation. We implement adaptive video playback in Reactive Video, a vision-based system which supports users learning or practising a physical skill. The use of pre-existing videos removes the need to create bespoke content or specially authored videos, and the system can provide real-time guidance and feedback to better support users when learning new movements. Adaptive video playback using a discrete Bayes and particle flter are evaluated on a data set collected of participants performing tai chi and radio exercises. Results show that both approaches can accurately adapt to the user’s movements, however reversing playback can be problematic.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UIST '20: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology http://doi.acm.org/10.1145/3379337.3415591
ID Code:
147601
Deposited By:
Deposited On:
22 Oct 2020 09:00
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Nov 2020 08:39