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    Rights statement: © 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

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Reactive Video : Adaptive Video Playback Based on User Motion for Supporting Physical Activity. / Clarke, Christopher; Cavdir, Doga; Chiu, Patrick; Denoue, Laurent; Kimber, Don.

ACM Symposium on User Interface Software and Technology (UIST). New York : ACM, 2020. p. 196-208.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Clarke, C, Cavdir, D, Chiu, P, Denoue, L & Kimber, D 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. https://doi.org/10.1145/3379337.3415591

APA

Clarke, C., Cavdir, D., Chiu, P., Denoue, L., & Kimber, D. (2020). Reactive Video: Adaptive Video Playback Based on User Motion for Supporting Physical Activity. In ACM Symposium on User Interface Software and Technology (UIST) (pp. 196-208). ACM. https://doi.org/10.1145/3379337.3415591

Vancouver

Clarke C, Cavdir D, Chiu P, Denoue L, Kimber D. Reactive Video: Adaptive Video Playback Based on User Motion for Supporting Physical Activity. In ACM Symposium on User Interface Software and Technology (UIST). New York: ACM. 2020. p. 196-208 https://doi.org/10.1145/3379337.3415591

Author

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

Bibtex

@inproceedings{2ea4473f95034b4f9af45991938fd13b,
title = "Reactive Video: Adaptive Video Playback Based on User Motion for Supporting Physical Activity",
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{\textquoteright}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{\textquoteright}s movements, however reversing playback can be problematic.",
author = "Christopher Clarke and Doga Cavdir and Patrick Chiu and Laurent Denoue and Don Kimber",
note = "{\textcopyright} 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",
year = "2020",
month = oct,
day = "20",
doi = "10.1145/3379337.3415591",
language = "English",
isbn = "9781450375146",
pages = "196--208",
booktitle = "ACM Symposium on User Interface Software and Technology (UIST)",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Reactive Video

T2 - Adaptive Video Playback Based on User Motion for Supporting Physical Activity

AU - Clarke, Christopher

AU - Cavdir, Doga

AU - Chiu, Patrick

AU - Denoue, Laurent

AU - Kimber, Don

N1 - © 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

PY - 2020/10/20

Y1 - 2020/10/20

N2 - 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.

AB - 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.

U2 - 10.1145/3379337.3415591

DO - 10.1145/3379337.3415591

M3 - Conference contribution/Paper

SN - 9781450375146

SP - 196

EP - 208

BT - ACM Symposium on User Interface Software and Technology (UIST)

PB - ACM

CY - New York

ER -