姿勢推定とベッド検出の統合処理を用いた患者の端座位検出

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: 2019/10/01

タイトル(英語): Sitting Posture Detection of Patients Pose Estimation and Bed Detection

著者名: 井上　円（アイホン（株）），田口　亮（名古屋工業大学），梅崎　太造（名古屋工業大学／東京大学）

著者名(英語): Madoka Inoue (Aiphone co., ltd.), Ryo Taguchi (Nagoya Institute of Technology), Taizo Umezaki (Nagoya Institute of Technology/The University of Tokyo)

キーワード: 物体検出，鳥瞰図，HOG，SVM，姿勢推定，ニューラルネットワーク　　object detection，Bird's-Eye View，HOG，SVM，Pose Estimation，Neural Network

要約(英語): Nurse’s work is the task that leads to a serious accident with one mistake or miss, and the nurses are exposed to high stress. In particular, injection / pre-medication, tube connection, and falling are factors that lead to serious accidents and are considered to be a major load factor of nursing work. In order to reduce the burden of nursing work, we are working on the development of a sensing system to prevent fall accidents. Since fall accidents tend to occur when elderly people whose lower limb muscle strength has declined go to the toilet, we use the camera image to detect the end position, which is the initial posture of the patient’s landing movement. In this paper, we detected the sitting position of the patient by combining the detection result of the skeletal position of the patient and the detection result of the bed position. A simulation environment was constructed and the estimation accuracy of the end sitting position of the patient was evaluated by using the image taken of the scene where the patient and the nurse are active.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.10 （2019） 特集Ⅰ：インテリジェント・システム　特集Ⅱ：2018電気関係学会四国支部連合大会

本誌掲載ページ: 1183-1190 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/139/10/139_1183/_article/-char/ja/