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1. US20210345960 - BODY WEIGHT ESTIMATION DEVICE, BODY WEIGHT ESTIMATION METHOD, AND PROGRAM RECORDING MEDIUM

Office
United States of America
Application Number 17283989
Application Date 17.10.2018
Publication Number 20210345960
Publication Date 11.11.2021
Publication Kind A1
IPC
A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
A61B 5/11
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
103Measuring devices for testing the shape, pattern, size or movement of the body or parts thereof, for diagnostic purposes
11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/103
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
103Measuring devices for testing the shape, pattern, size or movement of the body or parts thereof, for diagnostic purposes
CPC
A61B 5/112
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
103Detecting, measuring or recording devices for testing the shape, pattern, ; colour,; size or movement of the body or parts thereof, for diagnostic purposes
11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
112Gait analysis
A61B 5/4869
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
48Other medical applications
4869Determining body composition
A61B 2562/0247
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
2562Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
02Details of sensors specially adapted for in-vivo measurements
0247Pressure sensors
A61B 5/7246
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7235Details of waveform analysis
7246using correlation, e.g. template matching or determination of similarity
A61B 5/1038
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
103Detecting, measuring or recording devices for testing the shape, pattern, ; colour,; size or movement of the body or parts thereof, for diagnostic purposes
1036Measuring load distribution, e.g. podologic studies
1038Measuring plantar pressure during gait
A61B 5/7267
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
72Signal processing specially adapted for physiological signals or for diagnostic purposes
7235Details of waveform analysis
7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
7267involving training the classification device
Applicants NEC Corporation
Inventors Chenhui HUANG
Kenichiro FUKUSHI
Hiroshi KAJITANI
Kentaro NAKAHARA
Takeo NOZAKI
Title
(EN) BODY WEIGHT ESTIMATION DEVICE, BODY WEIGHT ESTIMATION METHOD, AND PROGRAM RECORDING MEDIUM
Abstract
(EN)

A body weight estimation device includes: a data reception unit that receives gait data including the gait characteristics of a walking person; a first calculation unit that extracts a feature quantity based on the gait characteristics of the walking person from the gait data; a second calculation unit that generates a learning model by learning a correlation between the feature quantity extracted by the first calculation unit and body weight information about the walking person, using the gait data as sample data; and an estimation unit that estimates the body weight information associated with the gait data of an estimation target by inputting the gait data of the estimation target to the learning model.


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