カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2018/06/01タイトル(英語): Evaluation of Hemiplegia Caused by Stroke by Using Joint Detection of Depth Sensors －Case of SIAS－著者名: 大西 智也（甲南大学大学院自然科学研究科知能情報学専攻），岩﨑 智宏（甲南大学大学院自然科学研究科知能情報学専攻），田中 雅博（甲南大学知能情報学部）著者名(英語): Tomoya Ohnishi (Department of Natural Science, Graduate School, Konan University), Tomohiro Iwasaki (Department of Natural Science, Graduate School, Konan University), Masahiro Tanaka (Department of Intelligence and Informatics, Konan University)キーワード: SIAS，深度センサー，リハビリテーション，Kinect，Leap Motion，自動評価 SIAS，depth sensors，rehabilitation，Kinect，Leap Motion，automatic evaluation要約(英語): Stroke Impairment Analysis Set (SIAS) is a set of evaluation methods of the hemiplegia body caused by stroke. The score of the test is made by visual examiners. However, the decisions are often different between them. Thus, the purpose of this study is to make an automatic evaluation system for the SIAS by using depth sensors. Kinect and Leap Motion are used to evaluate the proximal and distal upper extremity tests and the proximal lower extremity test in SIAS. The evaluation of these tests are based on the time difference of left and right cases, and the smoothness. If both of left and right motions are roughly the same and the motion is smooth enough, the score is 5, otherwise the score is decreased to between 4 and 0. The perfect match ratio between the system output and therapist judged is 65～75% and it can be higher than this if similar judgements are partially added to the score. In experimental results, this system has been shown to yield reasonable scores for the knee-mouth test, the finger test and the hip flexion test in motor function of SIAS.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.6 （2018） 特集：臨床・介護モニタリング研究の新展開本誌掲載ページ: 662-669 p原稿種別: 論文／日本語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/6/138_662/_article/-char/ja/
