Vision-based pose and heart rate detection for rehabilitation cycling

M.J.H. Gastel, van; S. Zinger; H.M.C. Kemps; P.H.N. With, de

doi:10.1109/ICCE.2015.7066422

Vision-based pose and heart rate detection for rehabilitation cycling

M.J.H. Gastel, van, S. Zinger, H.M.C. Kemps, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

We present a video based system for performance analysis in heart rehabilitation cycling. We contribute in two ways. First, we propose a model-based algorithm for extracting cyclist's pose and movement parameters. Second, we present an unobtrusive motion-robust heart rate estimation algorithm.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE International Conference on Consumer Electronics (ICCE), 09-12 January 2015, Las Vegas, USA
Place of Publication	Las Vegas, USA
Publisher	Institute of Electrical and Electronics Engineers
Pages	322-323
ISBN (Print)	978-1-4799-7542-6
DOIs	https://doi.org/10.1109/ICCE.2015.7066422
Publication status	Published - 2015
Event	2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States Duration: 9 Jan 2015 → 12 Jan 2015

Conference

Conference	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Abbreviated title	ICCE 2015
Country/Territory	United States
City	Las Vegas
Period	9/01/15 → 12/01/15

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10.1109/ICCE.2015.7066422

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Gastel, van, M. J. H., Zinger, S., Kemps, H. M. C., & With, de, P. H. N. (2015). Vision-based pose and heart rate detection for rehabilitation cycling. In Proceedings of the 2015 IEEE International Conference on Consumer Electronics (ICCE), 09-12 January 2015, Las Vegas, USA (pp. 322-323). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE.2015.7066422

@inproceedings{9b83b0ae0a704d0380d9a0fd14545137,

title = "Vision-based pose and heart rate detection for rehabilitation cycling",

abstract = "We present a video based system for performance analysis in heart rehabilitation cycling. We contribute in two ways. First, we propose a model-based algorithm for extracting cyclist's pose and movement parameters. Second, we present an unobtrusive motion-robust heart rate estimation algorithm.",

author = "{Gastel, van}, M.J.H. and S. Zinger and H.M.C. Kemps and {With, de}, P.H.N.",

year = "2015",

doi = "10.1109/ICCE.2015.7066422",

language = "English",

isbn = "978-1-4799-7542-6",

pages = "322--323",

booktitle = "Proceedings of the 2015 IEEE International Conference on Consumer Electronics (ICCE), 09-12 January 2015, Las Vegas, USA",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2015 IEEE International Conference on Consumer Electronics, ICCE 2015, ICCE 2015 ; Conference date: 09-01-2015 Through 12-01-2015",

}

Gastel, van, MJH, Zinger, S , Kemps, HMC & With, de, PHN 2015, Vision-based pose and heart rate detection for rehabilitation cycling. in Proceedings of the 2015 IEEE International Conference on Consumer Electronics (ICCE), 09-12 January 2015, Las Vegas, USA. Institute of Electrical and Electronics Engineers, Las Vegas, USA, pp. 322-323, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Las Vegas, Nevada, United States, 9/01/15. https://doi.org/10.1109/ICCE.2015.7066422

Vision-based pose and heart rate detection for rehabilitation cycling. / Gastel, van, M.J.H.; Zinger, S.; Kemps, H.M.C. et al.
Proceedings of the 2015 IEEE International Conference on Consumer Electronics (ICCE), 09-12 January 2015, Las Vegas, USA. Las Vegas, USA: Institute of Electrical and Electronics Engineers, 2015. p. 322-323.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Vision-based pose and heart rate detection for rehabilitation cycling

AU - Gastel, van, M.J.H.

AU - Zinger, S.

AU - Kemps, H.M.C.

AU - With, de, P.H.N.

PY - 2015

Y1 - 2015

N2 - We present a video based system for performance analysis in heart rehabilitation cycling. We contribute in two ways. First, we propose a model-based algorithm for extracting cyclist's pose and movement parameters. Second, we present an unobtrusive motion-robust heart rate estimation algorithm.

AB - We present a video based system for performance analysis in heart rehabilitation cycling. We contribute in two ways. First, we propose a model-based algorithm for extracting cyclist's pose and movement parameters. Second, we present an unobtrusive motion-robust heart rate estimation algorithm.

U2 - 10.1109/ICCE.2015.7066422

DO - 10.1109/ICCE.2015.7066422

M3 - Conference contribution

SN - 978-1-4799-7542-6

SP - 322

EP - 323

BT - Proceedings of the 2015 IEEE International Conference on Consumer Electronics (ICCE), 09-12 January 2015, Las Vegas, USA

PB - Institute of Electrical and Electronics Engineers

CY - Las Vegas, USA

T2 - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Y2 - 9 January 2015 through 12 January 2015

ER -

Vision-based pose and heart rate detection for rehabilitation cycling

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