TY  - JOUR
AU  - Miguel Reyes
AU  - Albert Clapes
AU  - Jose Ramirez
AU  - Juan R Revilla
AU  - Sergio Escalera
PY  - 2013//
TI  - Automatic Digital Biometry Analysis based on Depth Maps
T2  - COMPUTIND
JO  - Computers in Industry
SP  - 1316
EP  - 1325
VL  - 64
IS  - 9
PB  - Elsevier
KW  - Multi-modal data fusion
KW  - Depth maps
KW  - Posture analysis
KW  - Anthropometric data
KW  - Musculo-skeletal disorders
KW  - Gesture analysis
N2  - World Health Organization estimates that 80% of the world population is affected by back-related disorders during his life. Current practices to analyze musculo-skeletal disorders (MSDs) are expensive, subjective, and invasive. In this work, we propose a tool for static body posture analysis and dynamic range of movement estimation of the skeleton joints based on 3D anthropometric information from multi-modal data. Given a set of keypoints, RGB and depth data are aligned, depth surface is reconstructed, keypoints are matched, and accurate measurements about posture and spinal curvature are computed. Given a set of joints, range of movement measurements is also obtained. Moreover, gesture recognition based on joint movements is performed to look for the correctness in the development of physical exercises. The system shows high precision and reliable measurements, being useful for posture reeducation purposes to prevent MSDs, as well as tracking the posture evolution of patients in rehabilitation treatments.
UR  - http://dx.doi.org/10.1016/j.compind.2013.04.009
L1  - http://refbase.cvc.uab.es/files/RCR2013.pdf
N1  - HuPBA;MILAB
ID  - Miguel Reyes2013
ER  -