Modelling of Behavioural Patterns for Abnormality Detection in the Context of Lifestyle Reassurance
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-85920-8_30
Reference13 articles.
1. Barger, T.S., Brown, D.E., Alwan, M.: Health-status monitoring through analysis of behavioral patterns. IEEE Trans. on Sys., Man and Cybernetics 35, 22–27 (2005)
2. Barnes, N.M., Edwards, H.M., Rose, D.A.D., Garner, P.: Lifestyle monitoring-technology for supported independence. Comp. & Control Eng. J. 9, 169–174 (1998)
3. Brownsell, S., Blackburn, S., Hawley, M.: An evaluation of second and third generation telecare services in older people’s housing. J. of Telemedicine and Telecare 14, 8–12 (2008)
4. Chan, M.T., Hoogs, A., Schmiederer, J., Petersen, M.: Detecting rare events in video using semantic primitives with HMM. In: 17th International Conference on Pattern Recognition, vol. 4, pp. 150–154 (2004)
5. Duda, R., Hart, P., Stork, G.: Pattern Classification. Wiley, Chichester (2001)
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