A Study on Posture Correction Based on Computer Vision

De Liang Cai; Shao Na Lin

doi:10.4028/www.scientific.net/AMM.513-517.3207

Paper Titles

The Nonlinear Dynamics Characteristics of Stock Market and its Variation
p.3188

Application and Analysis of Parametric Substructure's New Modeling Method in PCB Components
p.3194

Detection and Tracking Recognition Algorithm for Weak Moving Target
p.3199

Study of Audio Circuit Board Testing System of some Station Based on DSP
p.3203

A Study on Posture Correction Based on Computer Vision
p.3207

Analysis of Lower Limbs Dynamics and its Application in the Sports Training Based on Computer Vision
p.3212

An Algorithm for Segmenting Video Shot
p.3216

Modeling and Analysis for Optimization Mode of City Bus Operator Scheduling Management
p.3220

Optimization Mechanism Modeling for Emergency Evacuation in Group Incidents
p.3224

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517A Study on Posture Correction Based on Computer...

A Study on Posture Correction Based on Computer Vision

Abstract:

During basketball sport, the movement of a joint is quite complex. And if move fast, it is difficult to constrain by fix algorithm the subtle angle changes between joints. Traditional sports vision modeling method is unable to describe the moving changes of the small areas which causes the unsatisfactory measuring effect of subtle posture in motion. This paper proposes a measurement method for three-dimensional motion posture of basketball athletes. It converts the constrained optimization problem for motion parameters as a nonlinear minimization problem by optimizing human motion parameters; uses L-M motion constraints parameter to provide fast convergent regularization method, in order to seek motion and structural parameters matrix of non-rigid basketball sport and complete three-dimensional measurement for motion parameters. The simulation results show that the method can accurately measure the 3D movement parameters of the athletes.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3207-3211

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3207

Citation:

Cite this paper

Online since:

February 2014

Authors:

De Liang Cai*, Shao Na Lin

Keywords:

Basketball, Motion Capture, Three-Dimensional Modeling

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Ilham tohti, wood - al MaiMaiDi. Adaptive watershed image segmentation method based on improved study [J]. Computer simulation, 2013, 30 (2) : 373-378.

Google Scholar

[2] Zhao Juan. Image retrieval algorithm based on self-organizing mapping neural network [J]. BULLETIN OF SCIENCE AND TECHNOLOGY , 2013, 28 (2) : 56-58.

Google Scholar

[3] Magnenat-Thalmann N, Laperriere R, Thalmann.

Google Scholar

[3] L Wang, W Hu and T Tan. Recent Developments in Human Motion Analysis. Pattern Recognition[J], 2003, 36(3): 585-601.

DOI: 10.1016/s0031-3203(02)00100-0

Google Scholar

[4] Lin D, Li MQ, Kou JS. A GA-based method for solving constrained optimization problems. Journal of Software[J], 2001, 12(4): 628-632.

Google Scholar

[5] Gong M, Ma L, Zhang Q, Jiao L. Community detection in networks by using multi objective evolutionary algorithm with decomposition[J]. Physica A, 2012, 391: 4050-4060.

DOI: 10.1016/j.physa.2012.03.021

Google Scholar