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

Author
Cortes, A.; Ojeda, M.; Bejar, J.; Martinez, A.
Type of activity
Presentation of work at congresses
Name of edition
21st International Conference of the Catalan Association for Artificial Intelligence
Date of publication
2018
Presentation's date
2018-10-10
Book of congress proceedings
Artificial intelligence research and development: current challenges, new trends and applications
First page
335
Last page
344
Publisher
Ios Press
DOI
10.3233/978-1-61499-918-8-335
Repository
http://hdl.handle.net/2117/127962 Open in new window
URL
http://ebooks.iospress.com/volumearticle/50427 Open in new window
Abstract
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...
Citation
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.
Keywords
Bag-of-words, Gait analysis, Health informatics, Time series clustering, Walking patterns
Group of research
CREB - Biomedical Engineering Research Centre
GRINS - Intelligent Robots and Systems
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants

Attachments