Browse > Article
http://dx.doi.org/10.9708/jksci.2021.26.03.043

A Design and Implementation of Fitness Application Based on Kinect Sensor  

Lee, Won Joo (Dept. of Computer Science, InHa Technical College)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.3, 2021 , pp. 43-50 More about this Journal
Abstract
In this paper, we design and implement KITNESS, a windows application that feeds back the accuracy of fitness motions based on Kinect sensors. The feature of this application is to use Kinect's camera and joint recognition sensor to give feedback to the user to exercise in the correct fitness position. At this time, the distance between the user and the Kinect is measured using Kinect's IR Emitter and IR Depth Sensor, and the joint, which is the user's joint position, and the Skeleton data of each joint are measured. Using this data, a certain distance is calculated for each joint position and posture of the user, and the accuracy of the posture is determined. And it is implemented so that users can check their posture through Kinect's RGB camera. That is, if the user's posture is correct, the skeleton information is displayed as a green line, and if it is not correct, the inaccurate part is displayed as a red line to inform intuitively. Through this application, the user receives feedback on the accuracy of the exercise position, so he can exercise himself in the correct position. This application classifies the exercise area into three areas: neck, waist, and leg, and increases the recognition rate of Kinect by excluding positions that Kinect does not recognize due to overlapping joints in the position of each exercise area. And at the end of the application, the last exercise is shown as an image for 5 seconds to inspire a sense of accomplishment and to continuously exercise.
Keywords
Kinect Sensor; Color Stream; Depth Stream; Skeleton Stream; Joint; Fitness;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Nielsen, A healthy habit of taking care of my body, home training, http://www.koreanclick.com/insights/newsletter_view.html ?&id=464.
2 TrendMonitor, 2018 U&A survey on exercise experience and home training in daily life, https://www.trendmonitor.co.kr/tmweb/trend/allTrend/detail.do?bIdx=1677&trendType=CKOREA
3 Microsoft, Kinect for Windows Sensor Components and Specifications, https://docs.microsoft.com/en-us/previous-versions/windows/kinect-1.8/jj131033(v=ieb.10).
4 Leepooiye, Differences between Kinect with Kinect 2.0, https://myleepy.wordpress.com/2018/07/16/week-2-kniect/.
5 Suharjito, Suharjito & Anderson, Ricky & Wiryana, Fanny & Ariesta, Meita & Kusuma Negara, I Gede Putra, "Sign Language Recognition Application Systems for Deaf-Mute People: A Review Based on Input-Process-Output," Procedia Computer Science. Vol.116. pp. 441-448, Oct. 2017. DOI:10.1016/j.procs.2017.10.028   DOI
6 Microsoft, Microsoft.Kinect Namespace, https://docs.microsoft.com/en-us/previous-versions/windows/kinect-1.8/hh855419(v=ieb.10).
7 J. K. Ko, "Kinect Programing," Korea Electronics Association, 2012.
8 Yun, Hye-Jeong, Kim, Kwang-Il, Lee, Jeong-Hun, and Lee, Hae-Yeoun, "Development of Experience Dance Game using Kinect Motion Capture," KIPS transactions on software and data engineering, Vol. 3, No. 1, pp. 49-56, Jan. 2014. DOI:10.3745/KTSDE.2014.3.1.49   DOI
9 Korea Health Promotion Institute, Press release of survey results on physical activity of office workers, https://www.khealth.or.kr/board/view?menuId=MENU00907&linkId=501805.
10 Park, Kyoung Shin, "Development of Kinect-Based Pose Recognition Model for Exercise Game," KIPS transactions on computer and communication systems, Vol. 5, No. 10, pp. 303-310, Oct. 2016. DOI:10.3745/KTCCS.2016.5.10.303   DOI
11 Kim, ChangGeol and Song, Byung-Seop, "Development of Home Training System with Self-Controlled Feedback for Stroke Patients," Journal of the Korea Industrial Information Systems Research, Vol. 18, No. 1, pp. 37-45, Feb. 2013. DOI:10.9723/JKSIIS.2013.18.1.037   DOI