深度センサーを用いた脳卒中機能評価法における体幹機能と関節可動域の自動判定

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: 2020/03/01

タイトル(英語): Automatic Evaluation of Trunk Function Tests and Joint Movement Tests for Stroke Impairment Assessment Set by Using Depth Sensor

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），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), Masahiro Tanaka (Department of Intelligence and Informatics, Konan University)

キーワード: 深度センサー，体幹機能，関節可動域，SIAS　　depth sensor，trunk function，joint movement，SIAS

要約(英語): In the field of rehabilitation, Stroke Impairment Assessment Set (SIAS) is used to evaluate the body dysfunctions for the post-stroke that is the disease of the brain. We have been developing automatic evaluation systems for the motor dysfunction in SIAS by using the detected joints of the body by using depth sensor. However, the joint detection is a specific function to Kinect and is not always possible for other depth sensors. Moreover, even when using Kinect, the positions of the joints are not correctly estimated when observed from the backward or with irregular poses. Thus, it is often inevitable to analyze the body poses from depth data directly. In this study, we directly apply depth data to the trunk function tests and joint movements of SIAS. The measuring method of angles from the raw depth data will be proposed, and the results are compared to the traditional test method of SIAS.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.3 （2020） 特集Ⅰ：スマートシステムと計測・制御技術―IoT時代の計測・制御技術―　特集Ⅱ：産業応用をにらんだ高周波システム・電子デバイス・回路・材料技術

本誌掲載ページ: 375-383 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/140/3/140_375/_article/-char/ja/