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dc.contributor.authorCortés Martínez, Atia
dc.contributor.authorOjeda, Maribel
dc.contributor.authorBéjar Alonso, Javier
dc.contributor.authorMartínez Velasco, Antonio Benito
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2019-01-31T09:31:34Z
dc.date.available2019-01-31T09:31:34Z
dc.date.issued2018
dc.identifier.citationCortés, A. [et al.]. An approach to gait analysis from human-rollator interaction: the i-Walker. A: International Conference of the Catalan Association for Artificial Intelligence. "Artificial intelligence research and development: current challenges, new trends and applications". Amsterdam: Ios Press, 2018, p. 335-344.
dc.identifier.isbn978-1-61499-918-8
dc.identifier.urihttp://hdl.handle.net/2117/127962
dc.description.abstractFalls are one of the main causes of injury and injury-related deaths in the older demographic sector. During the last decade, several solutions have been proposed for fall detection or prevention, but also to assist old adults in their mobility. The main concern is to provide means to improve their quality of life, allowing them to live in community as long as possible, but also to help maintaining public health systems as sustainable as possible. In this paper, we compare two different methodologies that aim to define walking patterns in 42 adults aged 22 to 94 years that participated in a pilot study. Two methodologies are compared: one focused on the whole exercise performance, while the other tries to identify strides and categorize them. Both proposals use a technique based on the bag-of-words approach.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherIos Press
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshFalls (Accidents) in old age
dc.subject.lcshAssistive computer technology
dc.subject.otherGait analysis
dc.subject.otherTime series clustering
dc.subject.otherBag-of-words
dc.subject.otherHealth informatics
dc.subject.otherWalking patterns
dc.titleAn approach to gait analysis from human-rollator interaction: the i-Walker
dc.typeConference report
dc.subject.lemacCaigudes (Accidents) en la vellesa
dc.subject.lemacAjuts tecnològics per a les persones grans
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.identifier.doi10.3233/978-1-61499-918-8-335
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ebooks.iospress.com/volumearticle/50427
dc.rights.accessOpen Access
drac.iddocument23598762
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorCortés, A.; Ojeda, M.; Béjar, J.; Martínez, A.
upcommons.citation.contributorInternational Conference of the Catalan Association for Artificial Intelligence
upcommons.citation.pubplaceAmsterdam
upcommons.citation.publishedtrue
upcommons.citation.publicationNameArtificial intelligence research and development: current challenges, new trends and applications
upcommons.citation.startingPage335
upcommons.citation.endingPage344


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