DocumentCode :
3741803
Title :
Virtual Personal Trainer via the Kinect Sensor
Author :
Xin Jin; Yuan Yao; Qiliang Jiang; Xingying Huang; Jianyi Zhang; Xiaokun Zhang; Kejun Zhang
Author_Institution :
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, 10700, China
fYear :
2015
Firstpage :
460
Lastpage :
463
Abstract :
Our daily life is more convenient than ever before because of the great progress of science and technology. However, the body building or fitness are always ignored in modern daily life. In this paper, we propose a Virtual Personal Trainer to provide real time visually action guide and action assessment during the fitness time of users via the Microsoft Kinect Sensor. The user actions are captured by Kinect and compared to standard actions so as to give a fitness score representing how well users perform actions in real time. Users can see the skeletons of his/her own action and standard action in the screen together with videos. An action correctness guide will be displayed to guide the user to correct his/her actions. Users correct his/her actions to match the standard action in our pre-collected fitness action library. Thus our system can provide interpretable feedback on how people can improve their action. The whole system gives a new definition of the family gym in the future with the power of human-machine interactive.
Keywords :
"Man machine systems","Games","Standards","Skeleton","Databases","Classification algorithms","Heuristic algorithms"
Publisher :
ieee
Conference_Titel :
Communication Technology (ICCT), 2015 IEEE 16th International Conference on
Print_ISBN :
978-1-4673-7004-2
Type :
conf
DOI :
10.1109/ICCT.2015.7399879
Filename :
7399879
Link To Document :
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