Abstract
In the future, Ambient Intelligence (AmI) technology could assist people autonomously and interpret their intentions. Current technology can already be used to recognize the presence of a person in a private or public space and trigger an automatic response or reaction depending on the user activity. This work describes ContextCare, an extension for an video surveillance system in a health care scenarios based on activity recognition using sensor smartphones. Both systems are coordinated using ECA parading.
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Avci, A., Bosch, S., Marin-Perianu, M., Marin-Perianu, R., Havinga, P.: Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey. In: 23rd International Conference on Architecture of Computing Systems (ARCS), pp. 1–10. VDE (2010)
Bustamante, A.L., Molina, J.M., Patricio, M.A.: Multi-camera Control and Video Transmission Architecture for Distributed Systems. In: Molina, J.M., Corredera, J.R.C., Pérez, M.F.C., Ortega-García, J., Barbolla, A.M.B. (eds.) User-Centric Technologies and Applications. AISC, vol. 94, pp. 37–45. Springer, Heidelberg (2011)
Cilla, R., Patricio, M., Berlanga, A., Molina, J.: A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views. Neurocomputing (2011)
Cook, D., Augusto, J., Jakkula, V.: Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing 5(4), 277–298 (2009)
Gil, G.B., de Jesús, A.B., Lopéz, J.M.M.: Comparing Features Extraction Techniques Using J48 for Activity Recognition on Mobile Phones. In: Omatu, S., Paz Santana, J.F., González, S.R., Molina, J.M., Bernardos, A.M., Rodríguez, J.M.C. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 151, pp. 141–150. Springer, Heidelberg (2012)
Gil, G., Berlanga, A., Molina, J.M.: incontexto: A fusion architecture to obtain mobile context. In: 2011 Proceedings of the 14th International Conference on Information Fusion (FUSION), pp. 1–8. IEEE (2011)
Gómez-Romero, J., Serrano, M., Patricio, M., García, J., Molina, J.: Context-based scene recognition from visual data in smart homes: an information fusion approach. Personal and Ubiquitous Computing, 1–23 (2011)
López, G., Custodio, V., Moreno, J.: Lobin: E-textile and wireless-sensor-network-based platform for healthcare monitoring in future hospital environments. IEEE Transactions on Information Technology in Biomedicine 14(6), 1446–1458 (2010)
Luis, A., Patricio, M.: Scalable streaming of jpeg 2000 live video using rtp over udp. In: International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2008), pp. 574–581. Springer (2009)
Michelson, B.: Event-driven architecture overview. Patricia Seybold Group (2006)
Want, R.: You are your cell phone. IEEE Pervasive Computing 7(2), 2–4 (2008)
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© 2012 Springer-Verlag Berlin Heidelberg
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Gil, G.B., Bustamante, A.L., Berlanga, A., Molina, J.M. (2012). ContextCare: Autonomous Video Surveillance System Using Multi-camera and Smartphones. In: Casillas, J., Martínez-López, F., Corchado Rodríguez, J. (eds) Management Intelligent Systems. Advances in Intelligent Systems and Computing, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30864-2_5
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DOI: https://doi.org/10.1007/978-3-642-30864-2_5
Publisher Name: Springer, Berlin, Heidelberg
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