Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
