Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation

Santiago Schez-Sobrino; Dorothy N. Monekosso; Paolo Remagnino; David Vallejo; Carlos Glez-Morcillo

doi:10.1109/MAPR.2019.8743535

Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation

Santiago Schez-Sobrino
, Dorothy N. Monekosso
, Paolo Remagnino
, David Vallejo
, Carlos Glez-Morcillo

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

Original language	English
Title of host publication	Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).
DOIs	https://doi.org/10.1109/MAPR.2019.8743535
Publication status	Published - 9 May 2019

Bibliographical note

Note: Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto
de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European
Social Fund ‟Investing in your future”) and Translate MedTech
(Leeds City Region, UK).

Keywords

Computer science and informatics

Access to Document

10.1109/MAPR.2019.8743535

http://dx.doi.org/10.1109/MAPR.2019.8743535

1 Paper

Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation
Schez-Sobrino, S., Monekosso, D. N., Remagnino, P., Vallejo, D. & Glez-Morcillo, C., 9 May 2019.
Research output: Contribution to conference › Paper › peer-review

Cite this

Schez-Sobrino, S., Monekosso, D. N., Remagnino, P., Vallejo, D., & Glez-Morcillo, C. (2019). Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation. In Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK). https://doi.org/10.1109/MAPR.2019.8743535

Schez-Sobrino, Santiago ; Monekosso, Dorothy N. ; Remagnino, Paolo et al. / Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation. Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).. 2019.

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Schez-Sobrino, S, Monekosso, DN, Remagnino, P, Vallejo, D & Glez-Morcillo, C 2019, Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation. in Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).. https://doi.org/10.1109/MAPR.2019.8743535

Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation. / Schez-Sobrino, Santiago; Monekosso, Dorothy N.; Remagnino, Paolo et al.
Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).. 2019.

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

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AU - Vallejo, David

AU - Glez-Morcillo, Carlos

N1 - Note: Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).

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DO - 10.1109/MAPR.2019.8743535

M3 - Conference contribution

BT - Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).

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Schez-Sobrino S, Monekosso DN, Remagnino P, Vallejo D, Glez-Morcillo C. Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation. In Published in: 2019 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781728118291 (xPlore). This work was partially supported by Instituto de Salud Carlos III through the project DTS18/00122 (cofunded by European Regional Development Fund/European Social Fund ‟Investing in your future”) and Translate MedTech (Leeds City Region, UK).. 2019 doi: 10.1109/MAPR.2019.8743535