DocumentCode
742901
Title
Wearable Sensorimotor Enhancer for Fingertip Based on Stochastic Resonance Effect
Author
Kurita, Yuichi ; Shinohara, Minoru ; Ueda, Jun
Author_Institution
Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hroshima, Japan
Volume
43
Issue
3
fYear
2013
fDate
5/1/2013 12:00:00 AM
Firstpage
333
Lastpage
337
Abstract
This paper reports on the results of an experiment involving a wearable sensorimotor enhancer intended to improve tactile sensitivity in human fingertips. As briefly exposing tactile receptors to subsensory vibration is known to enhance tactile sensitivity thanks to a phenomenon called stochastic resonance in the somatosensory system, applying white-noise vibration to a fingertip is expected to improve the sense of touch and associated motor skills. Against such a background, a prototype of a wearable device called a sensorimotor enhancer is proposed here. The device is attached to the radial side of the fingertip and stimulates tactile receptors by applying vibration from a lead zirconate titanate piezoelectric stack actuator. This design keeps the palmar region free, thereby helping to maintain the wearer´s manipulative ability. Sensory and motor tests involving 11 human subjects were conducted to determine the efficacy of the device, and the results confirmed its usefulness.
Keywords
haptic interfaces; piezoelectric actuators; tactile sensors; touch (physiological); vibrations; white noise; human fingertip tactile sensitivity improvement; lead zirconate titanate piezoelectric stack actuator; motor skills; motor tests; radial fingertip side; sense of touch; sensory tests; somatosensory system; stochastic resonance; stochastic resonance effect; subsensory vibration; tactile receptor stimulation; tactile receptors; wearable sensorimotor enhancer; wearer manipulative ability; white-noise vibration; Grasping; Sensors; Stochastic resonance; Tactile sensors; Wearable computers; Fingertip; motor performance; stochastic resonance (SR); tactile sensitivity; wearable device;
fLanguage
English
Journal_Title
Human-Machine Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2291
Type
jour
DOI
10.1109/TSMC.2013.2242886
Filename
6472790
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