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Human activity and motion disorder recognition: towards smarter interactive cognitive environments

Author
Reyes, J.; Ghio, A.; Anguita, D.; Parra, X.; Cabestany, J.; Catala, A.
Type of activity
Presentation of work at congresses
Name of edition
21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Date of publication
2013
Presentation's date
2013-04-24
Book of congress proceedings
ESANN 2013 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: Bruges (Belgium), 24-26 April 2013
First page
403
Last page
412
Repository
http://hdl.handle.net/2117/20901 Open in new window
URL
http://www.i6doc.com/en/livre/?GCOI=28001100131010 Open in new window
Abstract
The rise of ubiquitous computing systems in our environment is engendering a strong need for novel approaches of human-computer interaction. Either for extending the existing range of possibilities and services available to people or for providing assistance the ones with limited conditions. Human Activity Recognition (HAR) is playing a central role in this task by offering the input for the development of more interactive and cognitive environments. This has motivated the organization of the ES...
Citation
Reyes, J. [et al.]. Human activity and motion disorder recognition: towards smarter interactive cognitive environments. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "Proceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning". Bruges: 2013, p. 403-412.
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants