ABSTRACT
This paper presents a multi-agent architecture for a supervising system which is part of a new intelligent ambient system, called AmIHomCare. The supervising system detects the context of the person (using a domain ontology): the person location in the room together with the surrounding objects and its body posture. A sequence of these contexts is assembled in a daily activity, based on a set of rules, described by a stochastic context free grammar with attributes. Also the system predicts the next context and the next activity in order to detect emergencies in the smart environment.
- Ramos, C., Augusto, J., and Shapiro, D. 2008. Ambient intelligence - the next step for artificial intelligence. IEEE Intelligent Systems, 23, 2, 15--18. Google ScholarDigital Library
- Das, S., K., Cook, and D. J. 2005. Designing Smart Environments: A Paradigm Based on Learning and Presiction. Pattern Recognition and Machine Intelligence, First International Conference, PReMI 2005, LNCS 3776, 80--90. Google ScholarDigital Library
- Gopalratnam, K., and Cook, D. 2004. Active LeZi: An Incremental Parsing Algorithm for Sequential Prediction. International Journal on Artificial Intelligence Tools, 13, 4, 917--930.Google ScholarCross Ref
- Gopalratnam, K., and Cook, D. 2007. Online sequential prediction via incremental parsing: The Active LeZi algorithm. IEEE Intelligent Systems, 22, 1, 52--58 Google ScholarDigital Library
- Mocanu, I., and Florea, A. M. 2011. A Model for Activity Recognition and Emergency Detection in Smart Environments. The First International Conference on Ambient Computing, Applications, Services and Technologies, 13--19.Google Scholar
- Mocanu, S., Mocanu, I., Anton, S., and Munteanu, C.. 2011. AmIHomCare: A complex ambient intelligent system for home medical assistance. In Proceedings of the 10th International Conference on Applied Computer and Applied Computational Science, 181--186. Google ScholarDigital Library
- Mocanu, I., and Florea, A. M. 2011. A Multi-agent System for Human Activity Recognition in Smart Environments. Intelligent Distributed Computing V, Springer-Verlag, 382, 291--301.Google Scholar
- Mocanu, I. 2010. From content-based image retrieval by shape to image annotation. Advances in Electrical and Computer Engineering, 10, 4, 49--56, DOI = 10.4316/AECE.2010.04008.Google ScholarCross Ref
- Spanoudakis, N. I., and Moraitis, P. 2006. Agent based architecture in an ambient intelligence context. Proceedings of the 4th European Workshop on Multi-Agent Systems (EUMAS'06), Lisbon, Portugal, 1--12.Google Scholar
- Corvee, E., and Bremond, F. 2010. Body parts detection for people tracking using trees of histogram of oriented gradient descriptors. 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 469--475. Google ScholarDigital Library
- Dalal, N., and Triggs, B. 2005. Histogram of oriented gradients for human detection, Computer Vision and Pattern recognition, 1, 889--893. Google ScholarDigital Library
Index Terms
- A multi-agent supervising system for smart environments
Recommendations
Activity recognition of the elderly
CASEMANS '10: Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing SystemsThe development of context aware services is one proposed way to support independent living for the elderly. Performing test scenarios with the elderly helps when developing the context aware services. However, rigorous testing is not always desirable ...
Annotating smart environment sensor data for activity learning
Smart Environments: Technology to Support HealthcareThe pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to monitor the functional health of ...
Discovering Activities to Recognize and Track in a Smart Environment
The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to monitor the ...
Comments