The Research of the Athletic Relationship between Knee and Ankle Based on Back-Propagation Network

Xiao Na Qu; Teng Yu Zhang; Xi Tai Wang

doi:10.4028/www.scientific.net/AMR.472-475.2574

Paper Titles

Clam Shell Compression Characteristics and Bond Strength
p.2554

Finite Element Analysis of Deep Transverse Metatarsal Ligaments Mechanical Response during Landing
p.2558

Design and Analysis on the Increasing Friction Mechanism of the Convex-Hull-Typed Bionic Driving Drum
p.2562

Design and Fabrication on the Electroplating Polishing Pad with Phyllotactic Pattern
p.2568

The Research of the Athletic Relationship between Knee and Ankle Based on Back-Propagation Network
p.2574

Influence of Ladle Purging Plug Airway on Flow Properties of Liquid Steel
p.2581

Research of the Flow Sampling Algorithm
p.2588

Research on the Knowledge-Based Multi-Dimensional Information Model of Manufacturing Capability in CMfg
p.2592

Virtual Shaping Design of Single Snowmobile
p.2596

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 472-475The Research of the Athletic Relationship between...

The Research of the Athletic Relationship between Knee and Ankle Based on Back-Propagation Network

Abstract:

Abstract Objective To analyze the relationship between knee and ankle, and provide the design of the intelligent prostheses with the theory foundation. Method The gait of 30 healthy young people walking at fast, normal, and low speeds separately were detected by 3D gait analysis sysytem, and the gait data were investigated through BP Network. Result The kinematic information of the ankle could get from the knee through BP Network which could study the relationship well. Conclusion The control strategy could be used on the intelligent prostheses according that the kinematic information of the ankle could be forecasted from the knee.

You might also be interested in these eBooks

Advanced Manufacturing Technology, ICMSE 2012

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

2574-2578

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.472-475.2574

Citation:

Cite this paper

Online since:

February 2012

Authors:

Xiao Na Qu, Teng Yu Zhang, Xi Tai Wang

Keywords:

Ankle, Back-Propagation Network, Gait, Knee

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Geng Chun-ya, Ma Jun, Guo Zhong-wu, et al. Measurement and Statistical Analysis of the Vertical Force in Normal Young People's Gait[J]. Space Medicine & Medical Engineering, Vol.16, pp.364-367, (2003)

Google Scholar

[2] Joel Chestnutt, Manfred Lau, German Cheung, et al. Footstep Planning for the Honda ASIMO Humanoid[C]. In Processing of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, pp.631-636, (2005)

DOI: 10.1109/robot.2005.1570188

Google Scholar

[3] Tom Chau. A Review of Analytical Techniques for Gait Data. Part 1: fuzzy, statistical and fractal methods[J]. Gait and Posture, Vol. 13, pp.49-66, (2001)

DOI: 10.1016/s0966-6362(00)00094-1

Google Scholar

[4] Hu Xue-yan, Yun Xiao-ping, Guo Zhong-wu, et al. Basic Gait Characteristics of Healthy Adults [J]. Chinese Journal of Rehabilitation Theory and Practice, Vol. 12, pp.855-857, (2006)

Google Scholar

[5] Wang Lan, Wang Ting, Wang Jin-song, et al. Measurement Research of Normal Human gaits [N]. Journal of Hbrbin Engineering Unversity, Vol. 29, pp.499-598, (2008)

Google Scholar

[6] Shi Feng, Wang Xiao-chuan, Yu Lei, et al. The Analysis of 30 cases of MATLAB Artificial Neural Networks [M]. Beihang University Press, (2010)

Google Scholar