Paper Info
Title
Model-based analysis of impedance perception characteristics in man-machine interface
Abstract
In this paper, we analyze the influence of dynamical characteristics of man-machine interfaces on both impedance perception levels and motor control characteristics of humans. In order to estimate dynamical characteristics of man-machine interfaces, humans make use of the coupling characteristics between sensory systems and motor systems in their bodies. We propose a new model-based estimation method of impedance perception level of related with motor control characteristics of the body. For the experiment, we used a 6 degree-of-freedom manipulator to simulate different impedances. Based on the experimental results that show proportional relation between the differences of impedance perception levels and changes of the gain characteristics of the motor control transfer function model, the power spectrum density of the developed human model can be applied for on-line estimation of the impedance perception level of human in man-machine interface. The effectiveness of the proposed method is verified through comparison with subjective evaluation results.
Year
DOI
Venue
2013
10.1109/ISR.2013.6695727
ISR
Keywords
DocType
Citations 
model-based estimation method,biomechanics,impedance perception characteristics,proportional control,man-machine interface,biocontrol,human model,power spectrum density,man-machine systems,transfer functions,impedance perception levels,gain characteristics,motor systems,dynamical characteristics,coupling characteristics,degree-of-freedom manipulator,model-based analysis,human motor control system,motor control characteristics,manipulators,sensors,proportional relation,sensory systems,online estimation,motor control transfer function model
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Youngwoo Kim1193.90
Yamada Onihsi200.34
Goro Obinata34012.81
Kazunori Hase4539.46