Design and implementation of haptic virtual environments for the training of the visually impaired.
Identifieur interne : 001B16 ( PubMed/Curation ); précédent : 001B15; suivant : 001B17Design and implementation of haptic virtual environments for the training of the visually impaired.
Auteurs : Dimitrios Tzovaras [Grèce] ; Georgios Nikolakis ; Georgios Fergadis ; Stratos Malasiotis ; Modestos StavrakisSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1534-4320 ] ; 2004.
English descriptors
- KwdEn :
- Adult, Aged, Computer Simulation, Environment, Equipment Design, Equipment Failure Analysis, Feedback, Female, Hand (physiopathology), Humans, Male, Middle Aged, Patient Education as Topic (methods), Pilot Projects, Sensory Aids, Stress, Mechanical, Teaching (methods), Touch, User-Computer Interface, Vision Disorders (rehabilitation).
- MESH :
- methods : Patient Education as Topic, Teaching.
- physiopathology : Hand.
- rehabilitation : Vision Disorders.
- Adult, Aged, Computer Simulation, Environment, Equipment Design, Equipment Failure Analysis, Feedback, Female, Humans, Male, Middle Aged, Pilot Projects, Sensory Aids, Stress, Mechanical, Touch, User-Computer Interface.
Abstract
This paper presents a haptic virtual reality (VR) tool developed for the training of the visually impaired. The proposed approach focuses on the development of a highly interactive and extensible haptic VR training system (the ENORASI VR training system) that allows visually impaired, to study and interact with various virtual objects in specially designed virtual environments, while allowing designers to produce and customize these configurations. Based on the system prototype and the use of the CyberGrasp haptic device, a number of custom applications have been developed. An efficient collision detection algorithm is also introduced, by extending the proximity query package (PQP) algorithm to handle five points of contact (a case studied with the use of CyberGrasp). Two test categories were identified and corresponding tests were developed for each category. The training scenarios include: object recognition and manipulation and cane simulation, used for performing realistic navigation tasks. Twenty-six blind persons conducted the tests and the evaluation results have shown the degree of acceptance of the technology and the feasibility of the proposed approach.
DOI: 10.1109/TNSRE.2004.828756
PubMed: 15218940
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Dimitrios.Tzovaras@iti.gr</nlm:affiliation><country xml:lang="fr">Grèce</country><wicri:regionArea>Informatics and Telematics Institute, Center for Research and Technology Hellas, 57001 Thessaloniki</wicri:regionArea></affiliation></author><author><name sortKey="Nikolakis, Georgios" sort="Nikolakis, Georgios" uniqKey="Nikolakis G" first="Georgios" last="Nikolakis">Georgios Nikolakis</name></author><author><name sortKey="Fergadis, Georgios" sort="Fergadis, Georgios" uniqKey="Fergadis G" first="Georgios" last="Fergadis">Georgios Fergadis</name></author><author><name sortKey="Malasiotis, Stratos" sort="Malasiotis, Stratos" uniqKey="Malasiotis S" first="Stratos" last="Malasiotis">Stratos Malasiotis</name></author><author><name sortKey="Stavrakis, Modestos" sort="Stavrakis, Modestos" uniqKey="Stavrakis M" first="Modestos" last="Stavrakis">Modestos Stavrakis</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2004">2004</date><idno type="RBID">pubmed:15218940</idno><idno type="pmid">15218940</idno><idno type="doi">10.1109/TNSRE.2004.828756</idno><idno type="wicri:Area/PubMed/Corpus">001B16</idno><idno type="wicri:Area/PubMed/Curation">001B16</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Design and implementation of haptic virtual environments for the training of the visually impaired.</title><author><name sortKey="Tzovaras, Dimitrios" sort="Tzovaras, Dimitrios" uniqKey="Tzovaras D" first="Dimitrios" last="Tzovaras">Dimitrios Tzovaras</name><affiliation wicri:level="1"><nlm:affiliation>Informatics and Telematics Institute, Center for Research and Technology Hellas, 57001 Thessaloniki, Greece. Dimitrios.Tzovaras@iti.gr</nlm:affiliation><country xml:lang="fr">Grèce</country><wicri:regionArea>Informatics and Telematics Institute, Center for Research and Technology Hellas, 57001 Thessaloniki</wicri:regionArea></affiliation></author><author><name sortKey="Nikolakis, Georgios" sort="Nikolakis, Georgios" uniqKey="Nikolakis G" first="Georgios" last="Nikolakis">Georgios Nikolakis</name></author><author><name sortKey="Fergadis, Georgios" sort="Fergadis, Georgios" uniqKey="Fergadis G" first="Georgios" last="Fergadis">Georgios Fergadis</name></author><author><name sortKey="Malasiotis, Stratos" sort="Malasiotis, Stratos" uniqKey="Malasiotis S" first="Stratos" last="Malasiotis">Stratos Malasiotis</name></author><author><name sortKey="Stavrakis, Modestos" sort="Stavrakis, Modestos" uniqKey="Stavrakis M" first="Modestos" last="Stavrakis">Modestos Stavrakis</name></author></analytic><series><title level="j">IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="ISSN">1534-4320</idno><imprint><date when="2004" type="published">2004</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Aged</term><term>Computer Simulation</term><term>Environment</term><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Feedback</term><term>Female</term><term>Hand (physiopathology)</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Patient Education as Topic (methods)</term><term>Pilot Projects</term><term>Sensory Aids</term><term>Stress, Mechanical</term><term>Teaching (methods)</term><term>Touch</term><term>User-Computer Interface</term><term>Vision Disorders (rehabilitation)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Patient Education as Topic</term><term>Teaching</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Hand</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Vision Disorders</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Computer Simulation</term><term>Environment</term><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Feedback</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pilot Projects</term><term>Sensory Aids</term><term>Stress, Mechanical</term><term>Touch</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents a haptic virtual reality (VR) tool developed for the training of the visually impaired. The proposed approach focuses on the development of a highly interactive and extensible haptic VR training system (the ENORASI VR training system) that allows visually impaired, to study and interact with various virtual objects in specially designed virtual environments, while allowing designers to produce and customize these configurations. Based on the system prototype and the use of the CyberGrasp haptic device, a number of custom applications have been developed. An efficient collision detection algorithm is also introduced, by extending the proximity query package (PQP) algorithm to handle five points of contact (a case studied with the use of CyberGrasp). Two test categories were identified and corresponding tests were developed for each category. The training scenarios include: object recognition and manipulation and cane simulation, used for performing realistic navigation tasks. Twenty-six blind persons conducted the tests and the evaluation results have shown the degree of acceptance of the technology and the feasibility of the proposed approach.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">15218940</PMID><DateCreated><Year>2004</Year><Month>06</Month><Day>28</Day></DateCreated><DateCompleted><Year>2004</Year><Month>12</Month><Day>21</Day></DateCompleted><DateRevised><Year>2007</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1534-4320</ISSN><JournalIssue CitedMedium="Print"><Volume>12</Volume><Issue>2</Issue><PubDate><Year>2004</Year><Month>Jun</Month></PubDate></JournalIssue><Title>IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</Title><ISOAbbreviation>IEEE Trans Neural Syst Rehabil Eng</ISOAbbreviation></Journal><ArticleTitle>Design and implementation of haptic virtual environments for the training of the visually impaired.</ArticleTitle><Pagination><MedlinePgn>266-78</MedlinePgn></Pagination><Abstract><AbstractText>This paper presents a haptic virtual reality (VR) tool developed for the training of the visually impaired. The proposed approach focuses on the development of a highly interactive and extensible haptic VR training system (the ENORASI VR training system) that allows visually impaired, to study and interact with various virtual objects in specially designed virtual environments, while allowing designers to produce and customize these configurations. Based on the system prototype and the use of the CyberGrasp haptic device, a number of custom applications have been developed. An efficient collision detection algorithm is also introduced, by extending the proximity query package (PQP) algorithm to handle five points of contact (a case studied with the use of CyberGrasp). Two test categories were identified and corresponding tests were developed for each category. The training scenarios include: object recognition and manipulation and cane simulation, used for performing realistic navigation tasks. Twenty-six blind persons conducted the tests and the evaluation results have shown the degree of acceptance of the technology and the feasibility of the proposed approach.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Tzovaras</LastName><ForeName>Dimitrios</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Informatics and Telematics Institute, Center for Research and Technology Hellas, 57001 Thessaloniki, Greece. 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