Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation
Identifieur interne : 000196 ( Main/Exploration ); précédent : 000195; suivant : 000197Fusion of Haptic and Gesture Sensors for Rehabilitation of Bimanual Coordination and Dexterous Manipulation
Auteurs : Ningbo Yu [République populaire de Chine] ; Chang Xu [République populaire de Chine] ; Huanshuai Li [République populaire de Chine] ; Kui Wang [République populaire de Chine] ; Liancheng Wang ; Jingtai Liu [République populaire de Chine]Source :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2016.
Abstract
Disabilities after neural injury, such as stroke, bring tremendous burden to patients, families and society. Besides the conventional constrained-induced training with a paretic arm, bilateral rehabilitation training involves both the ipsilateral and contralateral sides of the neural injury, fitting well with the fact that both arms are needed in common activities of daily living (ADLs), and can promote good functional recovery. In this work, the fusion of a gesture sensor and a haptic sensor with force feedback capabilities has enabled a bilateral rehabilitation training therapy. The Leap Motion gesture sensor detects the motion of the healthy hand, and the omega.7 device can detect and assist the paretic hand, according to the designed cooperative task paradigm, as much as needed, with active force feedback to accomplish the manipulation task. A virtual scenario has been built up, and the motion and force data facilitate instantaneous visual and audio feedback, as well as further analysis of the functional capabilities of the patient. This task-oriented bimanual training paradigm recruits the sensory, motor and cognitive aspects of the patient into one loop, encourages the active involvement of the patients into rehabilitation training, strengthens the cooperation of both the healthy and impaired hands, challenges the dexterous manipulation capability of the paretic hand, suits easy of use at home or centralized institutions and, thus, promises effective potentials for rehabilitation training.
Url:
DOI: 10.3390/s16030395
PubMed: 26999149
PubMed Central: 4813970
Affiliations:
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Chine</country><wicri:regionArea>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353</wicri:regionArea><placeName><settlement type="city">Tianjin</settlement></placeName></affiliation></author><author><name sortKey="Xu, Chang" sort="Xu, Chang" uniqKey="Xu C" first="Chang" last="Xu">Chang Xu</name><affiliation><nlm:aff id="af1-sensors-16-00395">Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China;<email>xuch@mail.nankai.edu.cn</email> (C.X.);<email>lihuanshuai@mail.nankai.edu.cn</email> (H.L.);<email>wangkui337@mail.nankai.edu.cn</email> (K.W.);<email>liujt@nankai.edu.cn</email> (J.L.)</nlm:aff></affiliation><affiliation wicri:level="1"><nlm:aff id="af2-sensors-16-00395">Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353</wicri:regionArea><placeName><settlement type="city">Tianjin</settlement></placeName></affiliation></author><author><name sortKey="Li, Huanshuai" sort="Li, Huanshuai" uniqKey="Li H" first="Huanshuai" last="Li">Huanshuai Li</name><affiliation><nlm:aff id="af1-sensors-16-00395">Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China;<email>xuch@mail.nankai.edu.cn</email> (C.X.);<email>lihuanshuai@mail.nankai.edu.cn</email> (H.L.);<email>wangkui337@mail.nankai.edu.cn</email> (K.W.);<email>liujt@nankai.edu.cn</email> (J.L.)</nlm:aff></affiliation><affiliation wicri:level="1"><nlm:aff id="af2-sensors-16-00395">Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353</wicri:regionArea><placeName><settlement type="city">Tianjin</settlement></placeName></affiliation></author><author><name sortKey="Wang, Kui" sort="Wang, Kui" uniqKey="Wang K" first="Kui" last="Wang">Kui Wang</name><affiliation><nlm:aff id="af1-sensors-16-00395">Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China;<email>xuch@mail.nankai.edu.cn</email> (C.X.);<email>lihuanshuai@mail.nankai.edu.cn</email> (H.L.);<email>wangkui337@mail.nankai.edu.cn</email> (K.W.);<email>liujt@nankai.edu.cn</email> (J.L.)</nlm:aff></affiliation><affiliation wicri:level="1"><nlm:aff id="af2-sensors-16-00395">Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353</wicri:regionArea><placeName><settlement type="city">Tianjin</settlement></placeName></affiliation></author><author><name sortKey="Wang, Liancheng" sort="Wang, Liancheng" uniqKey="Wang L" first="Liancheng" last="Wang">Liancheng Wang</name><affiliation><nlm:aff id="af3-sensors-16-00395">Rehabilitation Center, Tianjin Hospital, Tianjin 300211, China;<email>cmoweb@126.com</email></nlm:aff></affiliation></author><author><name sortKey="Liu, Jingtai" sort="Liu, Jingtai" uniqKey="Liu J" first="Jingtai" last="Liu">Jingtai Liu</name><affiliation><nlm:aff id="af1-sensors-16-00395">Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin 300353, China;<email>xuch@mail.nankai.edu.cn</email> (C.X.);<email>lihuanshuai@mail.nankai.edu.cn</email> (H.L.);<email>wangkui337@mail.nankai.edu.cn</email> (K.W.);<email>liujt@nankai.edu.cn</email> (J.L.)</nlm:aff></affiliation><affiliation wicri:level="1"><nlm:aff id="af2-sensors-16-00395">Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300353</wicri:regionArea><placeName><settlement type="city">Tianjin</settlement></placeName></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Disabilities after neural injury, such as stroke, bring tremendous burden to patients, families and society. Besides the conventional constrained-induced training with a paretic arm, bilateral rehabilitation training involves both the ipsilateral and contralateral sides of the neural injury, fitting well with the fact that both arms are needed in common activities of daily living (ADLs), and can promote good functional recovery. In this work, the fusion of a gesture sensor and a haptic sensor with force feedback capabilities has enabled a bilateral rehabilitation training therapy. The Leap Motion gesture sensor detects the motion of the healthy hand, and the omega.7 device can detect and assist the paretic hand, according to the designed cooperative task paradigm, as much as needed, with active force feedback to accomplish the manipulation task. A virtual scenario has been built up, and the motion and force data facilitate instantaneous visual and audio feedback, as well as further analysis of the functional capabilities of the patient. This task-oriented bimanual training paradigm recruits the sensory, motor and cognitive aspects of the patient into one loop, encourages the active involvement of the patients into rehabilitation training, strengthens the cooperation of both the healthy and impaired hands, challenges the dexterous manipulation capability of the paretic hand, suits easy of use at home or centralized institutions and, thus, promises effective potentials for rehabilitation training.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Klamroth Marganska, V" uniqKey="Klamroth Marganska V">V. Klamroth-Marganska</name></author><author><name sortKey="Blanco, J" uniqKey="Blanco J">J. Blanco</name></author><author><name sortKey="Campen, K" uniqKey="Campen K">K. Campen</name></author><author><name sortKey="Curt, A" uniqKey="Curt A">A. Curt</name></author><author><name sortKey="Dietz, V" uniqKey="Dietz V">V. 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Forssberg</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Tianjin</li></settlement></list><tree><noCountry><name sortKey="Wang, Liancheng" sort="Wang, Liancheng" uniqKey="Wang L" first="Liancheng" last="Wang">Liancheng Wang</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Yu, Ningbo" sort="Yu, Ningbo" uniqKey="Yu N" first="Ningbo" last="Yu">Ningbo Yu</name></noRegion><name sortKey="Li, Huanshuai" sort="Li, Huanshuai" uniqKey="Li H" first="Huanshuai" last="Li">Huanshuai Li</name><name sortKey="Liu, Jingtai" sort="Liu, Jingtai" uniqKey="Liu J" first="Jingtai" last="Liu">Jingtai Liu</name><name sortKey="Wang, Kui" sort="Wang, Kui" uniqKey="Wang K" first="Kui" last="Wang">Kui Wang</name><name sortKey="Xu, Chang" sort="Xu, Chang" uniqKey="Xu C" first="Chang" last="Xu">Chang Xu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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