Document Detail


Electrotactile and vibrotactile displays for sensory substitution systems.
MedLine Citation:
PMID:  2026426     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Sensory substitution systems provide their users with environmental information through a human sensory channel (eye, ear, or skin) different from that normally used, or with the information processed in some useful way. We review the methods used to present visual, auditory, and modified tactile information to the skin. First, we discuss present and potential future applications of sensory substitution, including tactile vision substitution (TVS), tactile auditory substitution, and remote tactile sensing or feedback (teletouch). Next, we review the relevant sensory physiology of the skin, including both the mechanisms of normal touch and the mechanisms and sensations associated with electrical stimulation of the skin using surface electrodes (electrotactile (also called electrocutaneous) stimulation). We briefly summarize the information-processing ability of the tactile sense and its relevance to sensory substitution. Finally, we discuss the limitations of current tactile display technologies and suggest areas requiring further research for sensory substitution systems to become more practical.
Authors:
K A Kaczmarek; J G Webster; P Bach-y-Rita; W J Tompkins
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  38     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  1991 Jan 
Date Detail:
Created Date:  1991-06-10     Completed Date:  1991-06-10     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1-16     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering, University of Wisconsin, Madison 53706.
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Data Display*
Electric Conductivity
Humans
Pattern Recognition, Automated
Physical Stimulation
Sensation / physiology
Sensory Aids*
Grant Support
ID/Acronym/Agency:
NS26328/NS/NINDS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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