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

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

3384

Lastpage

3389

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSMC.2012.6378315

Filename

6378315