Title :
A body dimensions estimation method of subject from a few measurement items using KINECT
Author :
Samejima, Ippei ; Maki, Keitarou ; Kagami, Satoshi ; Kouchi, Makiko ; Mizoguchi, Hiroshi
Author_Institution :
Digital Human Res. Center, Nat. Inst. of Adv. Ind. Sci. & Technol., Tokyo, Japan
Abstract :
This paper describes a method to estimate a set of body dimensions of a subject using the Microsoft KINECT sensor. Principal Component Analysis(PCA) of the AIST anthropometric database shows first and second principal components are interpreted as scale and degree of obesity respectively. A few body dimensions were chosen by linear multiple regression analysis. Applying the resulting estimator to a given subject using the KINECT sensor to obtain joint positions and 3 body dimensions by analyzing depth image, we can estimate a set of body dimensions for the subject. The system is described and experimental results are shown.
Keywords :
image sensors; principal component analysis; AIST anthropometric database; Microsoft KINECT sensor; body dimension estimation; depth image analysis; linear multiple regression analysis; principal component analysis; Buttocks; Hip; Joints; Length measurement; Obesity; Position measurement; Body Dimensions; Depth Image Analysis;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6378315
