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

Christopher Clarke, Doga Cavdir, Patrick Chiu, Laurent Denoue, Don Kimber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationACM Symposium on User Interface Software and Technology (UIST)
PublisherAssociation for Computing Machinery
Pages196-208
Number of pages13
ISBN (Print)9781450375146
DOIs
Publication statusPublished - 20 Oct 2020

Cite this