A Kinect-based system for cognitive rehabilitation exercises monitoring.
Identifieur interne : 000961 ( Ncbi/Curation ); précédent : 000960; suivant : 000962A Kinect-based system for cognitive rehabilitation exercises monitoring.
Auteurs : D. González-Ortega [Espagne] ; F J Díaz-Pernas [Espagne] ; M. Martínez-Zarzuela [Espagne] ; M. Ant N-Rodríguez [Espagne]Source :
- Computer methods and programs in biomedicine [ 1872-7565 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- rééducation et réadaptation : Troubles de la cognition.
- Humains, Intelligence artificielle, Monitorage physiologique, Nez, Oeil, Oreille, Performance psychomotrice.
English descriptors
- KwdEn :
- MESH :
- rehabilitation : Cognition Disorders.
- Artificial Intelligence, Ear, Eye, Humans, Monitoring, Physiologic, Nose, Psychomotor Performance.
Abstract
In this paper, a 3D computer vision system for cognitive assessment and rehabilitation based on the Kinect device is presented. It is intended for individuals with body scheme dysfunctions and left-right confusion. The system processes depth information to overcome the shortcomings of a previously presented 2D vision system for the same application. It achieves left and right-hand tracking, and face and facial feature detection (eye, nose, and ears) detection. The system is easily implemented with a consumer-grade computer and an affordable Kinect device and is robust to drastic background and illumination changes. The system was tested and achieved a successful monitoring percentage of 96.28%. The automation of the human body parts motion monitoring, its analysis in relation to the psychomotor exercise indicated to the patient, and the storage of the result of the realization of a set of exercises free the rehabilitation experts of doing such demanding tasks. The vision-based system is potentially applicable to other tasks with minor changes.
DOI: 10.1016/j.cmpb.2013.10.014
PubMed: 24263055
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González-Ortega</name><affiliation wicri:level="1"><nlm:affiliation>Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain. 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Martínez-Zarzuela</name><affiliation wicri:level="1"><nlm:affiliation>Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid</wicri:regionArea><wicri:noRegion>Valladolid</wicri:noRegion></affiliation></author><author><name sortKey="Ant N Rodriguez, M" sort="Ant N Rodriguez, M" uniqKey="Ant N Rodriguez M" first="M" last="Ant N-Rodríguez">M. Ant N-Rodríguez</name><affiliation wicri:level="1"><nlm:affiliation>Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Signal Theory, Communications and Telematics Engineering, Telecommunications Engineering School, University of Valladolid, Valladolid</wicri:regionArea><wicri:noRegion>Valladolid</wicri:noRegion></affiliation></author></analytic><series><title level="j">Computer methods and programs in biomedicine</title><idno type="eISSN">1872-7565</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Artificial Intelligence</term><term>Cognition Disorders (rehabilitation)</term><term>Ear</term><term>Eye</term><term>Humans</term><term>Monitoring, Physiologic</term><term>Nose</term><term>Psychomotor Performance</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Humains</term><term>Intelligence artificielle</term><term>Monitorage physiologique</term><term>Nez</term><term>Oeil</term><term>Oreille</term><term>Performance psychomotrice</term><term>Troubles de la cognition (rééducation et réadaptation)</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Cognition Disorders</term></keywords><keywords scheme="MESH" qualifier="rééducation et réadaptation" xml:lang="fr"><term>Troubles de la cognition</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Artificial Intelligence</term><term>Ear</term><term>Eye</term><term>Humans</term><term>Monitoring, Physiologic</term><term>Nose</term><term>Psychomotor Performance</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Intelligence artificielle</term><term>Monitorage physiologique</term><term>Nez</term><term>Oeil</term><term>Oreille</term><term>Performance psychomotrice</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, a 3D computer vision system for cognitive assessment and rehabilitation based on the Kinect device is presented. It is intended for individuals with body scheme dysfunctions and left-right confusion. The system processes depth information to overcome the shortcomings of a previously presented 2D vision system for the same application. It achieves left and right-hand tracking, and face and facial feature detection (eye, nose, and ears) detection. The system is easily implemented with a consumer-grade computer and an affordable Kinect device and is robust to drastic background and illumination changes. The system was tested and achieved a successful monitoring percentage of 96.28%. The automation of the human body parts motion monitoring, its analysis in relation to the psychomotor exercise indicated to the patient, and the storage of the result of the realization of a set of exercises free the rehabilitation experts of doing such demanding tasks. The vision-based system is potentially applicable to other tasks with minor changes.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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