Title :
Stochastic resonance occurring in tactile sensation of human finger
Author :
Beceren, Kadir ; Ohka, Masahiro ; Miyaoka, Tetsu
Author_Institution :
Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan
Abstract :
In this paper, we review the influence of external noise on human tactile sensation as outlined in prior and current studies. In the last few decades, researchers have found that, although noise is always considered detrimental, it provides the benefit of stochastic resonance (SR) phenomena. Based on previous studies, we investigate the effect of the SR phenomenon on human tactile sensation. In this context, we developed a system consisting of an experimental apparatus and a computer program, and performed a series of psychophysical experiments using different types of stimulus with normal vibration. The experimental results show that tactile sensation precision can be enhanced by an appropriate level of external noise. Furthermore, we introduce a neural network model composed of nonlinear neurons with a bi-stable equilibrium condition to clarify the result. Finally, we perform a sequence of psychophysical experiments with tangential vibration to clarify which conditions of vibration direction and stimulus size cause the strongest SR. The results show that the normal difference limen (DL) is significantly affected by stimulus point size. On the other hand, neither normal nor tangential DL is significantly affected by stimulus point size. Moreover, the characteristics of SR with normal vibration are quite different from those with tangential vibration.
Keywords :
brain models; neural nets; nonlinear dynamical systems; random noise; stability; stochastic processes; touch (physiological); vibrations; bistable equilibrium condition; external noise effects; human finger tactile sensation; neural network model; nonlinear neurons; normal vibration stimulus; psychophysical experiments; stimulus size; stochastic resonance; tactile sensation precision enhancement; tangential vibration; vibration direction; Fingers; Noise generators; Robot sensing systems;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610729