River multimodal scenario for rehabilitation robotics.
Identifieur interne : 000C97 ( PubMed/Corpus ); précédent : 000C96; suivant : 000C98River multimodal scenario for rehabilitation robotics.
Auteurs : Marko Munih ; Domen Novak ; Maja Milavec ; Jaka Ziherl ; Andrej Olenšek ; Matjaž MiheljSource :
- IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [ 1945-7901 ] ; 2011.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Psychophysiology, Robotics.
- methods : Psychophysiology, Robotics.
- Adult, Equipment Design, Female, Humans, Male, Middle Aged.
Abstract
This paper presents the novel "River" multimodal rehabilitation robotics scenario that includes video, audio and haptic modalities. Elements contributing to intrinsic motivation are carefully joined in the three modalities to increase motivation of the user. The user first needs to perform a motor action, then receives a cognitive challenge that is solved with adequate motor activity. Audio includes environmental sounds, music and spoken instructions or encouraging statements. Sounds and music were classified according to the arousal-valence space. The haptic modality can provide catching, grasping, tunnel or adaptive assistance, all depending on the user's needs. The scenario was evaluated in 16 stroke users, who responded to it favourably according to the Intrinsic Motivation Inventory questionnaire. Additionally, the river multimodal environment seems to elicit higher motivation than a simpler apple pick-and-place multimodal task.
DOI: 10.1109/ICORR.2011.5975416
PubMed: 22275619
Links to Exploration step
pubmed:22275619Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">River multimodal scenario for rehabilitation robotics.</title><author><name sortKey="Munih, Marko" sort="Munih, Marko" uniqKey="Munih M" first="Marko" last="Munih">Marko Munih</name><affiliation><nlm:affiliation>Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia. marko.munih@robo.fe.uni-lj.si</nlm:affiliation></affiliation></author><author><name sortKey="Novak, Domen" sort="Novak, Domen" uniqKey="Novak D" first="Domen" last="Novak">Domen Novak</name></author><author><name sortKey="Milavec, Maja" sort="Milavec, Maja" uniqKey="Milavec M" first="Maja" last="Milavec">Maja Milavec</name></author><author><name sortKey="Ziherl, Jaka" sort="Ziherl, Jaka" uniqKey="Ziherl J" first="Jaka" last="Ziherl">Jaka Ziherl</name></author><author><name sortKey="Olensek, Andrej" sort="Olensek, Andrej" uniqKey="Olensek A" first="Andrej" last="Olenšek">Andrej Olenšek</name></author><author><name sortKey="Mihelj, Matjaz" sort="Mihelj, Matjaz" uniqKey="Mihelj M" first="Matjaž" last="Mihelj">Matjaž Mihelj</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="doi">10.1109/ICORR.2011.5975416</idno><idno type="RBID">pubmed:22275619</idno><idno type="pmid">22275619</idno><idno type="wicri:Area/PubMed/Corpus">000C97</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">River multimodal scenario for rehabilitation robotics.</title><author><name sortKey="Munih, Marko" sort="Munih, Marko" uniqKey="Munih M" first="Marko" last="Munih">Marko Munih</name><affiliation><nlm:affiliation>Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia. marko.munih@robo.fe.uni-lj.si</nlm:affiliation></affiliation></author><author><name sortKey="Novak, Domen" sort="Novak, Domen" uniqKey="Novak D" first="Domen" last="Novak">Domen Novak</name></author><author><name sortKey="Milavec, Maja" sort="Milavec, Maja" uniqKey="Milavec M" first="Maja" last="Milavec">Maja Milavec</name></author><author><name sortKey="Ziherl, Jaka" sort="Ziherl, Jaka" uniqKey="Ziherl J" first="Jaka" last="Ziherl">Jaka Ziherl</name></author><author><name sortKey="Olensek, Andrej" sort="Olensek, Andrej" uniqKey="Olensek A" first="Andrej" last="Olenšek">Andrej Olenšek</name></author><author><name sortKey="Mihelj, Matjaz" sort="Mihelj, Matjaz" uniqKey="Mihelj M" first="Matjaž" last="Mihelj">Matjaž Mihelj</name></author></analytic><series><title level="j">IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</title><idno type="eISSN">1945-7901</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Equipment Design</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Psychophysiology (instrumentation)</term><term>Psychophysiology (methods)</term><term>Robotics (instrumentation)</term><term>Robotics (methods)</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Psychophysiology</term><term>Robotics</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Psychophysiology</term><term>Robotics</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Equipment Design</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents the novel "River" multimodal rehabilitation robotics scenario that includes video, audio and haptic modalities. Elements contributing to intrinsic motivation are carefully joined in the three modalities to increase motivation of the user. The user first needs to perform a motor action, then receives a cognitive challenge that is solved with adequate motor activity. Audio includes environmental sounds, music and spoken instructions or encouraging statements. Sounds and music were classified according to the arousal-valence space. The haptic modality can provide catching, grasping, tunnel or adaptive assistance, all depending on the user's needs. The scenario was evaluated in 16 stroke users, who responded to it favourably according to the Intrinsic Motivation Inventory questionnaire. Additionally, the river multimodal environment seems to elicit higher motivation than a simpler apple pick-and-place multimodal task.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22275619</PMID><DateCreated><Year>2012</Year><Month>01</Month><Day>25</Day></DateCreated><DateCompleted><Year>2012</Year><Month>07</Month><Day>19</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1945-7901</ISSN><JournalIssue CitedMedium="Internet"><Volume>2011</Volume><PubDate><Year>2011</Year></PubDate></JournalIssue><Title>IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</Title><ISOAbbreviation>IEEE Int Conf Rehabil Robot</ISOAbbreviation></Journal><ArticleTitle>River multimodal scenario for rehabilitation robotics.</ArticleTitle><Pagination><MedlinePgn>5975416</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/ICORR.2011.5975416</ELocationID><Abstract><AbstractText>This paper presents the novel "River" multimodal rehabilitation robotics scenario that includes video, audio and haptic modalities. Elements contributing to intrinsic motivation are carefully joined in the three modalities to increase motivation of the user. The user first needs to perform a motor action, then receives a cognitive challenge that is solved with adequate motor activity. Audio includes environmental sounds, music and spoken instructions or encouraging statements. Sounds and music were classified according to the arousal-valence space. The haptic modality can provide catching, grasping, tunnel or adaptive assistance, all depending on the user's needs. The scenario was evaluated in 16 stroke users, who responded to it favourably according to the Intrinsic Motivation Inventory questionnaire. Additionally, the river multimodal environment seems to elicit higher motivation than a simpler apple pick-and-place multimodal task.</AbstractText><CopyrightInformation>© 2011 IEEE</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Munih</LastName><ForeName>Marko</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia. marko.munih@robo.fe.uni-lj.si</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Novak</LastName><ForeName>Domen</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Milavec</LastName><ForeName>Maja</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Ziherl</LastName><ForeName>Jaka</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Olenšek</LastName><ForeName>Andrej</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Mihelj</LastName><ForeName>Matjaž</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Int Conf Rehabil Robot</MedlineTA><NlmUniqueID>101260913</NlmUniqueID><ISSNLinking>1945-7898</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004867">Equipment Design</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011603">Psychophysiology</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012371">Robotics</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>7</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/ICORR.2011.5975416</ArticleId><ArticleId IdType="pubmed">22275619</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000C97 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000C97 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:22275619
|texte= River multimodal scenario for rehabilitation robotics.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:22275619" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |