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Applying Movement Based Interaction in Sitting-Down and Getting-Up Rehabilitation Therapies

Authors:

José Antonio Fernández Valls,

Victor M. R. Penichet,

María Dolores Lozano,

Juan E. Garrido,

Carlos Gimena BelloAuthors Info & Claims

Interacción '14: Proceedings of the XV International Conference on Human Computer Interaction

Article No.: 38, Pages 1 - 2

https://doi.org/10.1145/2662253.2662291

Published: 10 September 2014 Publication History

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Abstract

People suffering from brain damage present disorders which hinder their daily life. They can be limited when walking, catching objects, climbing upstairs, etc. These common activities are natural and simple for people without those handicaps but those with a neurodegenerative disease or brain damage find an important obstacle in them. In this sense, authors have developed a system whose main goal is to offer an assistant to be applied at rehabilitation centers in order to help patients in their specific disabilities. The system guides users with brain damage to improve or learn the capacity of getting up from a chair. The system analyzes continuously the postures and movements of the patients and guides them. Patients receive indications to know the steps to be performed and how to complete each one of them. A complete user interface shows adequate indications, corrections and complementary information.

References

[1]

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[2]

Garrido, J.E., Penichet, V.M., Lozano, M.D, Fernández, J.A. 2013. Automatic Detection of Falls and Fainting. Journal of Universal Computer Science, vol. 19, no. 8, 1105--1112.

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[3]

Garrido, J.E., Marset, I., Penichet, V.M., Lozano, M.D. 2013. Balance disorder rehabilitation through movement interaction. In Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '13). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 319--322. DOI= http://dx.doi.org/10.4108/icst.pervasivehealth.2013.252368

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Dimaguila GGray KMerolli M(2018)Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature ReviewJMIR Rehabilitation and Assistive Technologies10.2196/rehab.91235:1(e11)Online publication date: 8-May-2018
https://doi.org/10.2196/rehab.9123

Index Terms

Applying Movement Based Interaction in Sitting-Down and Getting-Up Rehabilitation Therapies
1. Human-centered computing

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Published In

Interacción '14: Proceedings of the XV International Conference on Human Computer Interaction

September 2014

435 pages

ISBN:9781450328807

DOI:10.1145/2662253

Conference Chair:
Carina S. González González,
Program Chairs:
Cesar Collazos Ordóñez,
Habib Fardoun

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Universidad de La Laguna: Universidad de La Laguna

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Association for Computing Machinery

New York, NY, United States

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Published: 10 September 2014

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Interacción '14

Interacción '14: XV International Conference on Human Computer Interaction

September 10 - 12, 2014

Tenerife, Puerto de la Cruz, Spain

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Overall Acceptance Rate 109 of 163 submissions, 67%

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Dimaguila GGray KMerolli M(2018)Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature ReviewJMIR Rehabilitation and Assistive Technologies10.2196/rehab.91235:1(e11)Online publication date: 8-May-2018
https://doi.org/10.2196/rehab.9123

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Recommendations

Balance disorder rehabilitation through movement interaction

The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy

Muscle Extension Model for FES-Assisted Knee Swinging Ergometer for Stroke Patient

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