Paper Info
Title
Action tutor: real-time exemplar-based sequential movement assessment with kinect sensor
Abstract
With the aid of depth camera, such as Microsoft Kinect, the difficulty of vision-based posture estimation is greatly decreased, and human action analysis has achieved a wide range of applications. However, there is still much to do to develop effective movement assessment technique, which bridges the results of human posture estimation and the understanding of human action performance. In this work, we propose an action tutor system which enables the user to interactively retrieve the learning exemplar of the target action movement and to immediately acquire motion instructions while learning it in front of the Kinect. In the retrieval stage, non-linear time warping algorithms are designed to retrieve video segments similar to the query movement roughly performed by the user. In the learning stage, the user learns according to the selected video exemplar, and the motion assessment including both static and dynamic differences is presented to the user in a more effective and organized way, helping him/her to perform the action movement correctly.
Year
DOI
Venue
2012
10.1145/2393347.2396433
ACM Multimedia 2001
Keywords
Field
DocType
motion assessment,human action analysis,human posture estimation,target action movement,effective movement assessment technique,kinect sensor,query movement,microsoft kinect,real-time exemplar-based sequential movement,action tutor system,human action performance,action movement
TUTOR,Computer vision,Movement assessment,Dynamic time warping,Computer science,Artificial intelligence,Target–action,Multimedia
Conference
Citations 
PageRank 
References 
1
0.43
1
Authors
6
Name
Order
Citations
PageRank
Chi-Wen Chen1251.38
Min-Chun Hu217029.78
Wen-huang Cheng371573.78
Che-Han Chang41428.27
Jui-Hsin Lai5608.98
Ja-ling Wu61569168.11