Human Behavior Characteristics Analysis in Teleoperation System

Yu Jie Cui; Jian Ning Hua

doi:10.4028/www.scientific.net/AMM.373-375.163

Paper Titles

Research on the Key Technology of Road Machinery Intelligent Compaction
p.142

Temperature Field of Electro-Hydraulic Pump with Finite Element Model
p.146

Electric Hydraulic Power Steering System Simulation Study
p.154

A Study on Dynamic Inversion of UAV
p.158

Human Behavior Characteristics Analysis in Teleoperation System
p.163

The Application of Speeder Based on Frequency Conversion and Fluid Viscous Soft Start in Port
p.167

Steer Mechanism for Combustion Piston Type Hopping Robot with Adjustable Hop Angle
p.173

Wheeled Robot Based on Fuzzy Neural Network Tracking Studies
p.181

A Redundancy Resolution Method for Robot with Multi-Constraints Based on the Varied Weighted Least-Norm Principle
p.185

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Human Behavior Characteristics Analysis in...

Human Behavior Characteristics Analysis in Teleoperation System

Abstract:

This paper is concerned with the analysis of human behavior in teleoperation system. A teleoperation experimental system is developed in this paper. The stability of the inverted pendulum is controled by joystick. The Laminar Phase and power spectrum is adopted to analyse human behavior characteristics. The experiment results show that human is adaptive to the disturbance in the teleoperation system.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

163-166

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.163

Citation:

Cite this paper

Online since:

August 2013

Authors:

Yu Jie Cui, Jian Ning Hua

Keywords:

Inverted Pendulum, Laminar Phase, Power Spectrum, Teleoperation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] K. Funasaka, M. iwase and S. Hatakeyama, The design of a human operation system", Tokeo Denki University Graduate school of Science and Engineering studies graduate course Master, s Programs thesis summary, Vol. 24(2005), pp.177-180.

Google Scholar

[2] Masami Iwase, Toshiya Tajiri, Kenji Unno, and Shoshiro Hatakeyama, Human dexterity analysis in machine operation process of a linear motor, Proceedings of the 4th COE Workshop on Human Adaptive Mechatrinics (HAM), 2-3 March 2007, Tokyo Denki University, Japan, pp.125-131.

DOI: 10.1109/cdc.2007.4434909

Google Scholar

[3] Juan L. Cabrera and Hohn G. Milton, On-Off Intermittency in a Human Balancing Task, The American Physical Society, Vol. 89(2002), No. 15.

Google Scholar

[4] Wei Ding, Lili Pei, Hongyi Li. The Effects of Time Delay of Internet on Characteristics of Human Behaviors, Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, Okayama, Japan, March 26-29, (2009).

DOI: 10.1109/icnsc.2009.4919327

Google Scholar

[5] Fei S K J: MATLAB7 Application . (Publishing Housse of Electronics Industry , Beijing 2005).

Google Scholar

[6] K. Furuta, Controll of Pendulum: From Super Mechano-System to Human Adaptive Mechatronics, Proc. of the 42nd IEEE CDC, Plenary Talk, pp.1498-1507, (2003).

DOI: 10.1109/cdc.2003.1272824

Google Scholar

[7] M. Iwase, S. Hatakeyama and K. Furuta, Analysis of intermittent control systems by human operation, IECON 2005, pp.56-60, (2005).

Google Scholar

[8] I. D. Loram, S. M. Kelly, and M. Lakie. Human balancing of an inverted pendulum: is sway size controlled by ankle impedance? J. Physiol. (London), pp.879-891, (2001).

DOI: 10.1111/j.1469-7793.2001.0879e.x

Google Scholar