文章基本信息

标题：Design and Implementation of Home Training System based on Personal Fitness Using Kinect Sensor
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作者：Jung Kyu Park ; Eun Young Park
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2022
卷号：19
期号：1
页码：4410-4419
DOI：10.14704/WEB/V19I1/WEB19290
语种：English
出版社：University of Tehran
摘要：In this paper, we implemented and developed a home training program using sensors. The implemented program grasps the user's athletic ability and suggests personalized exercise program. In modern society, the aging population is growing rapidly, and most of them are working and living in the interior. For this reason, health management of the aging population is becoming an important social issue, and it is recognized that muscle strength is an important factor. In this paper, we designed and developed a home training program for aged people to exercise in a comfortable environment like natural environment. In the developed program, we extract the skeletal feature points of the user using Microsoft's Kinect sensor and generate feature vectors to check the user's motion state. The proposed algorithm measures the user 's athletic ability and suggests a suitable exercise based on the information. As a result of applying kinematic sensor measurements to the proposed algorithm, it showed up to 97% accuracy. We measured the user's athletic ability through the program using the proposed algorithm and suggested the exercise suitable for the individual ability based on this information.
关键词：Body Strength;Aging;Home Training;Kinect Sensor;Motion Detection