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An approach to gait analysis from human-rollator interaction: the i-Walker

Autor
Cortes, A.; Ojeda, M.; Bejar, J.; Martinez, A.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
21st International Conference of the Catalan Association for Artificial Intelligence
Any de l'edició
2018
Data de presentació
2018-10-10
Llibre d'actes
Artificial intelligence research and development: current challenges, new trends and applications
Pàgina inicial
335
Pàgina final
344
Editor
Ios Press
DOI
10.3233/978-1-61499-918-8-335
Repositori
http://hdl.handle.net/2117/127962 Obrir en finestra nova
URL
http://ebooks.iospress.com/volumearticle/50427 Obrir en finestra nova
Resum
Falls 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 methodol...
Citació
Cortés, 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.
Paraules clau
Bag-of-words, Gait analysis, Health informatics, Time series clustering, Walking patterns
Grup de recerca
CREB - Centre de Recerca en Enginyeria Biomedica
GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

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