A Novel Concept of the Rehabilitation Training Coach Robot for Patients with Disability

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dc.contributor.authorHan, Seung-Hoko
dc.contributor.authorKim, Hangyuko
dc.contributor.authorChoi, Ho-Jinko
dc.date.accessioned2018-01-23T01:15:33Z-
dc.date.available2018-01-23T01:15:33Z-
dc.date.created2017-12-28-
dc.date.issued2017-05-29-
dc.identifier.citation2nd Int’l Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE 2017), Workshop on 18th IEEE International Conference on Mobile Data Management, MDM 2017, pp.376 - 381-
dc.identifier.urihttp://hdl.handle.net/10203/237777-
dc.description.abstractThis paper proposes the rehabilitation treatment coach robot which will help at-home patients do their rehabilitation exercises at home without any professional trainers. The coach robot is designed to be cheap enough for patients to afford it. The robot suggests the rehabilitation program and corrects the posture of the patients during the exercise. The deep neural network is used for posture correction. Besides, the voice interface is applied for convenient interaction between robot and patients during the exercise. The emergency detection module is adopted which will inform doctors when emergency happens on patients. The emergency detection will be implemented using deep neural network on voice input and video input simultaneously. The detailed data collection plan for training deep neural network and performance evaluation plan are also provided in the paper.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleA Novel Concept of the Rehabilitation Training Coach Robot for Patients with Disability-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage376-
dc.citation.endingpage381-
dc.citation.publicationname2nd Int’l Workshop on Spatial/Temporal Information Extraction from Unstructured Texts (WSTIE 2017), Workshop on 18th IEEE International Conference on Mobile Data Management, MDM 2017-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationKAIST, Daejeon-
dc.identifier.doi10.1109/MDM.2017.65-
dc.contributor.localauthorChoi, Ho-Jin-
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CS-Conference Papers(학술회의논문)
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