GS2-3 Human Motion Recognition from Multiple Directions and Its Gait Cycles Analysis

Title:	GS2-3 Human Motion Recognition from Multiple Directions and Its Gait Cycles Analysis
Publication:	ICAROB2024
Volume:	29
Pages:	959-963
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2024.GS2-3
Author(s):	Miki Ooba, Yui Tanjo
Publication Date:	February 22, 2024
Keywords:	OpenPose, images of human area, human walk motion, structural feature, figural feature, gait cycle
Abstract:	It is crucial for individuals to keep walking and stay healthy to prevent receiving nursing care. This paper proposes a method of recognizing walk motions and analyzing the gait cycle of a human focusing on his/her posture. We use 43 structural features defined from human joint coordinates obtained using OpenPose and 18 figural features from human domain images and their difference images. The feature vector containing these 61 features is used for the recognition of walk motion by Random Forest. In the experiment, we applied the method to recognizing six types of motions and analyzed the walk gait cycles of five persons, and obtained satisfactory results.
PDF File:	https://alife-robotics.co.jp/members2024/icarob/data/html/data/GS/GS2-3.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/