User Preference Model for Conscious Services in Smart Environments

Awareness of user preferences and analysis of thecurrent situation makes capable to provide user with invasiveservices in various applications of smart environments. In smartmeeting rooms context-aware systems analyze user behaviorbased on multimodal sensor data and provide proactive servicesfor mee...

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Detalhes bibliográficos
Autores: Andrey Ronzhin, Jesus Savage, Sergey Glazkov
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:México
Recursos:Universidad Nacional Autónoma de México
Repositorio:Redalyc-UNAM
OAI Identifier:oai:redalyc.org:402640458007
Acesso em linha:https://www.redalyc.org/articulo.oa?id=402640458007
Access Level:acceso abierto
Palavra-chave:Computación
mobile robot
User preferences
context awareness
action recognition
smart meeting room
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spelling User Preference Model for Conscious Services in Smart EnvironmentsAndrey RonzhinJesus SavageSergey GlazkovComputaciónmobile robotUser preferencescontext awarenessaction recognitionsmart meeting roomAwareness of user preferences and analysis of thecurrent situation makes capable to provide user with invasiveservices in various applications of smart environments. In smartmeeting rooms context-aware systems analyze user behaviorbased on multimodal sensor data and provide proactive servicesfor meeting support, including active control PTZ (pan, tilt andzoom) cameras, microphone arrays, context dependent automaticarchiving and web-transmission of meeting data at theinteraction. History of interaction sessions between a user and aservice is used for knowledge accumulation in order to forecastuser behavior during the next visit. The user preference modelbased on audiovisual data recorded during interaction andstatistics of his/her speech activity, requests, movementtrajectories and other parameters was implemented for thedeveloped mobile information robot and smart meeting room.Instituto Politécnico Nacional2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf1870-9044https://www.redalyc.org/articulo.oa?id=402640458007Polibits (México) Vol.44reponame:Redalyc-UNAMinstname:Universidad Nacional Autónoma de Méxicoinstacron:UNAMenhttp://www.redalyc.org/revista.oa?id=4026Polibitsinfo:eu-repo/semantics/openAccessoai:redalyc.org:4026404580072025-09-03T18:10:43Z
dc.title.none.fl_str_mv User Preference Model for Conscious Services in Smart Environments
title User Preference Model for Conscious Services in Smart Environments
spellingShingle User Preference Model for Conscious Services in Smart Environments
Andrey Ronzhin
Computación
mobile robot
User preferences
context awareness
action recognition
smart meeting room
title_short User Preference Model for Conscious Services in Smart Environments
title_full User Preference Model for Conscious Services in Smart Environments
title_fullStr User Preference Model for Conscious Services in Smart Environments
title_full_unstemmed User Preference Model for Conscious Services in Smart Environments
title_sort User Preference Model for Conscious Services in Smart Environments
dc.creator.none.fl_str_mv Andrey Ronzhin
Jesus Savage
Sergey Glazkov
author Andrey Ronzhin
author_facet Andrey Ronzhin
Jesus Savage
Sergey Glazkov
author_role author
author2 Jesus Savage
Sergey Glazkov
author2_role author
author
dc.subject.none.fl_str_mv Computación
mobile robot
User preferences
context awareness
action recognition
smart meeting room
topic Computación
mobile robot
User preferences
context awareness
action recognition
smart meeting room
description Awareness of user preferences and analysis of thecurrent situation makes capable to provide user with invasiveservices in various applications of smart environments. In smartmeeting rooms context-aware systems analyze user behaviorbased on multimodal sensor data and provide proactive servicesfor meeting support, including active control PTZ (pan, tilt andzoom) cameras, microphone arrays, context dependent automaticarchiving and web-transmission of meeting data at theinteraction. History of interaction sessions between a user and aservice is used for knowledge accumulation in order to forecastuser behavior during the next visit. The user preference modelbased on audiovisual data recorded during interaction andstatistics of his/her speech activity, requests, movementtrajectories and other parameters was implemented for thedeveloped mobile information robot and smart meeting room.
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1870-9044
https://www.redalyc.org/articulo.oa?id=402640458007
identifier_str_mv 1870-9044
url https://www.redalyc.org/articulo.oa?id=402640458007
dc.language.none.fl_str_mv en
language_invalid_str_mv en
dc.relation.none.fl_str_mv http://www.redalyc.org/revista.oa?id=4026
dc.rights.none.fl_str_mv Polibits
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Polibits
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Politécnico Nacional
publisher.none.fl_str_mv Instituto Politécnico Nacional
dc.source.none.fl_str_mv Polibits (México) Vol.44
reponame:Redalyc-UNAM
instname:Universidad Nacional Autónoma de México
instacron:UNAM
instname_str Universidad Nacional Autónoma de México
instacron_str UNAM
institution UNAM
reponame_str Redalyc-UNAM
collection Redalyc-UNAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 14,964248

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