The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 07, 2022

Filed:

Feb. 16, 2016
Applicant:

Nippon Telegraph and Telephone Corporation, Chiyoda-ku, JP;

Inventors:

Keitaro Horikawa, Musashino, JP;

Yoshitaka Nakamura, Musashino, JP;

Masato Sawada, Musashino, JP;

Akihiro Yamanaka, Musashino, JP;

Shingo Tsukada, Atsugi, JP;

Toshiya Yamada, Yokohama, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/024 (2006.01); A61B 5/00 (2006.01); A61B 5/16 (2006.01); A61B 5/11 (2006.01); G16H 50/30 (2018.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01); A61B 5/352 (2021.01); A61B 5/021 (2006.01);
U.S. Cl.
CPC ...
A61B 5/721 (2013.01); A61B 5/024 (2013.01); A61B 5/02405 (2013.01); A61B 5/1116 (2013.01); A61B 5/1118 (2013.01); A61B 5/1123 (2013.01); A61B 5/16 (2013.01); A61B 5/4035 (2013.01); A61B 5/7267 (2013.01); A61B 5/7282 (2013.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/021 (2013.01); A61B 5/352 (2021.01); A61B 5/6804 (2013.01); A61B 2503/10 (2013.01); A61B 2503/12 (2013.01); A61B 2505/09 (2013.01);
Abstract

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. 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, and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.


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