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

dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor
Universitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.contributor
Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.contributor.author
Reyes Ortiz, Jorge Luis
dc.contributor.author
Ghio, Alessandro
dc.contributor.author
Anguita, Davide
dc.contributor.author
Parra Perez, Xavier
dc.contributor.author
Cabestany Moncusí, Joan
dc.contributor.author
Català Mallofré, Andreu
dc.date.issued
2013
dc.identifier
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.
dc.identifier
978-2-87419-081-0
dc.identifier
https://hdl.handle.net/2117/20901
dc.description.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 ESANN 2013 Special Session in Human Activity and Motion Disorder Recognition and the execution of a competition in HAR. Here, a compilation of the most recent proposals in the area are exposed accompanied by the results of the contest calling for innovative approaches to recognize activities of daily living (ADL) from a recently published data set.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
10 p.
dc.format
application/pdf
dc.language
eng
dc.relation
http://www.i6doc.com/en/livre/?GCOI=28001100131010
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject
Cognitive environments
dc.subject
Entorns cognitius
dc.title
Human activity and motion disorder recognition: towards smarter interactive cognitive environments
dc.type
Conference report


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