公开(公告)号：EP3245950A1

公开(公告)日：2017-11-22

申请号：EP16752474.3

申请日：2016-02-16

申请人： Nippon Telegraph and Telephone Corporation

发明人： HORIKAWA, Keitaro ,  NAKAMURA, Yoshitaka ,  SAWADA, Masato ,  YAMANAKA, Akihiro ,  TSUKADA, Shingo ,  YAMADA, Toshiya

IPC分类号： A61B5/107 ,  A61B5/00 ,  A61B5/11 ,  A61B5/16

CPC分类号： A61B5/721 ,  A61B5/021 ,  A61B5/024 ,  A61B5/02405 ,  A61B5/0456 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/1123 ,  A61B5/4035 ,  A61B5/6804 ,  A61B5/7267 ,  A61B5/7282 ,  A61B2503/10 ,  A61B2503/12 ,  A61B2505/09 ,  G06F19/00 ,  G16H50/30

摘要： In a wearable device attached to a subject, an acceleration information measurement unit that measures acceleration information, and a biological signal information measurement unit that measures biological signal information of the subject, are provided. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified. Correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

摘要翻译： 在附接到对象的可穿戴设备中，提供了测量加速度信息的加速度信息测量单元以及测量对象的生物信号信息的生物信号信息测量单元。 根据所测量的加速度信息和生物信号信息，提取对应于第一预定时段的第一特征数据和对应于第二预定时段的第二特征数据。 通过基于第一特征数据的机器学习，生成用于对象的动态/静态活动识别模型，动态活动识别模型和静态活动识别模型。 通过基于每个识别模型的确定结果的组合，识别对象的姿势和活动。 产生使识别的姿势和活动与对象的生物信号信息相关联的对应信息。