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Journal articles

Abductive Agents for Human Activity Monitoring

Abstract : We propose in this paper a novel architecture for human activity monitoring, following conceptual, technical and experimental claims. From a conceptual viewpoint, we propose to approach the interpretation of sensor data as embedded into a multidimensional frame involving functional and non-functional requirements. Functional requirements involve considering the monitored person's specicities as well as the task to be performed. Non-functional requirements qualify the system activity. This frame of interpretation is continuously rened, to cope with evolving situations or expectations from the Observer. From a technical viewpoint, we propose to develop a multi-Agent architecture as a means for dependable, exible monitoring. This paradigm allows to handle multiple, heterogeneous entities in a unied way. The Agents process incoming data with a dynamic population of hypotheses on several abstraction levels. This reasoning is abductive and fuzzy in nature. From the experimental viewpoint, we propose a dedicated evaluation approach to estimate the interpretative process unfolding. Functional and non-functional properties are presented to discuss the system's effectiveness, informativeness, sensitivity, eficiency and robustness, some of which are supported by qualitative, analytical discussions, others by quantitative measures.
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Contributor : Catherine Garbay Connect in order to contact the contributor
Submitted on : Tuesday, October 13, 2015 - 9:58:45 AM
Last modification on : Tuesday, February 15, 2022 - 1:17:32 PM


  • HAL Id : hal-01214797, version 1



Benoît Vettier, Catherine Garbay. Abductive Agents for Human Activity Monitoring. International Journal on Artificial Intelligence Tools, World Scientific Publishing, 2014, New Perspectives on the Use of Agents in Health Care, 23 (1 spec). ⟨hal-01214797⟩



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