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Human activity recognition on smartphones for mobile context awareness

Author
Anguita, D.; Ghio, A.; Oneto, L.; Parra, X.; Reyes, J.
Type of activity
Presentation of work at congresses
Name of edition
26th Annual Conference on Neural Information Processing Systems
Date of publication
2013
Presentation's date
2012-12-08
Book of congress proceedings
Advances in Neural Information Processing Systems 26: proceedings of the 2012 conference
First page
1
Last page
9
Repository
http://hdl.handle.net/2117/22167 Open in new window
URL
https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxuaXBzMjAxMmNvbnRleHRhd2FyZXdvcmtzaG9wfGd4OjI5NWUzZWQzYzM1N2ZhZDI Open in new window
Abstract
Activity-Based Computing [1] aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources. When these sensors are attached to the subject’s body, they permit continuous monitoring of numerous physiological signals. This has appealing use in healthcare applications, e.g. the exploitation of Ambient Intelligence (AmI) in daily activity monitoring for elderly people. In this paper, we present a system...
Citation
Anguita, D. [et al.]. Human activity recognition on smartphones for mobile context awareness. A: Neural Information Processing Systems Conference. "Advances in Neural Information Processing Systems 26: proceedings of the 2012 conference". Lake Tahoe, Nevada: 2012, p. 1-9.
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants

  • Anguita, Davide  (author and speaker )
  • Ghio, Alessandro  (author and speaker )
  • Oneto, Luca  (author and speaker )
  • Llanas Parra, Francesc Xavier  (author and speaker )
  • Reyes Ortiz, Jorge Luis  (author and speaker )