Title:
METHOD FOR EXTRACTING POSTURE ON BASIS OF VIDEO AND SOLE PRESSURE BY USING ARTIFICIAL INTELLIGENCE
Document Type and Number:
WIPO Patent Application WO/2023/149651
Kind Code:
A1
Abstract:
The present invention relates to a method for extracting a posture on the basis of a video and a sole pressure by using artificial intelligence, the method comprising: a step of receiving video data obtained by capturing the walking movement of a user; a video data pre-processing step of generating skeletal coordinate data from the video data; a step of receiving pressure data comprising information relating to pressure applied to the soles during the walking movement of the user; a pressure data pre-processing step of generating gait cycle normalization data from the pressure data; and a step of extracting the posture of the user by using artificial intelligence, on the basis of the skeletal coordinate data and gait cycle normalization data. The method for extracting a posture on the basis of a video and a sole pressure by using artificial intelligence according to the present invention: can accurately determine a posture by using artificial intelligence; and, if there is an abnormality in the musculoskeletal system according to the method, can let the user know of the abnormal state to help the user select an accurate and effective therapy.
Inventors:
CHUNG TAI MYOUNG (KR)
LEE SEO HU (KR)
HYUN JA YUN (KR)
LEE SEO HU (KR)
HYUN JA YUN (KR)
Application Number:
PCT/KR2022/020411
Publication Date:
August 10, 2023
Filing Date:
December 15, 2022
Export Citation:
Assignee:
HIPPO T&C INC (KR)
RESEARCH & BUSINESS FOUND SUNGKYUNKWAN UNIV (KR)
RESEARCH & BUSINESS FOUND SUNGKYUNKWAN UNIV (KR)
International Classes:
A61B5/00; A61B5/103; A61B5/11; G06N3/08; G16H50/20
Foreign References:
| US20190347826A1 | 2019-11-14 |
Other References:
YADAV SANTOSH KUMAR; TIWARI KAMLESH; PANDEY HARI MOHAN; AKBAR SHAIK ALI: "A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions", KNOWLEDGE-BASED SYSTEMS, ELSEVIER, AMSTERDAM, NL, vol. 223, 17 April 2021 (2021-04-17), AMSTERDAM, NL , pages 106970, XP086569498, ISSN: 0950-7051, DOI: 10.1016/j.knosys.2021.106970
LIM, DONG HWAN ET AL. : "Development of Insole Sensor System and Gait Phase Detection Algorithm for Lower Extremity Exoskeleton", JOURNAL OF THE KOREAN SOCIETY FOR PRECISION ENGINEERING, vol. 32, no. 12, 1 December 2015 (2015-12-01), pages 1065 - 1072, XP009548575, ISSN: 1225-9071, DOI: 10.7736/KSPE.2015.32.12.1065
LUNA-PEREJÓN FRANCISCO, DOMÍNGUEZ-MORALES MANUEL, GUTIÉRREZ-GALÁN DANIEL, CIVIT-BALCELLS ANTÓN: "Low-Power Embedded System for Gait Classification Using Neural Networks", JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, vol. 10, no. 2, 1 May 2020 (2020-05-01), pages 14, XP093083667, DOI: 10.3390/jlpea10020014
YAN SONG-HUA, LIU YAN-CHENG, LI WEI, ZHANG KUAN: "Gait phase detection by using a portable system and artificial neural network", MEDICINE IN NOVEL TECHNOLOGY AND DEVICES, vol. 12, 1 December 2021 (2021-12-01), pages 100092, XP093083669, ISSN: 2590-0935, DOI: 10.1016/j.medntd.2021.100092
LIM, DONG HWAN ET AL. : "Development of Insole Sensor System and Gait Phase Detection Algorithm for Lower Extremity Exoskeleton", JOURNAL OF THE KOREAN SOCIETY FOR PRECISION ENGINEERING, vol. 32, no. 12, 1 December 2015 (2015-12-01), pages 1065 - 1072, XP009548575, ISSN: 1225-9071, DOI: 10.7736/KSPE.2015.32.12.1065
LUNA-PEREJÓN FRANCISCO, DOMÍNGUEZ-MORALES MANUEL, GUTIÉRREZ-GALÁN DANIEL, CIVIT-BALCELLS ANTÓN: "Low-Power Embedded System for Gait Classification Using Neural Networks", JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, vol. 10, no. 2, 1 May 2020 (2020-05-01), pages 14, XP093083667, DOI: 10.3390/jlpea10020014
YAN SONG-HUA, LIU YAN-CHENG, LI WEI, ZHANG KUAN: "Gait phase detection by using a portable system and artificial neural network", MEDICINE IN NOVEL TECHNOLOGY AND DEVICES, vol. 12, 1 December 2021 (2021-12-01), pages 100092, XP093083669, ISSN: 2590-0935, DOI: 10.1016/j.medntd.2021.100092
Attorney, Agent or Firm:
ENVISION PATENT & LAW FIRM (KR)
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