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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 : Maria-Irina Nicolae <>
Submitted on : Monday, February 17, 2014 - 4:36:16 PM
Last modification on : Friday, November 20, 2020 - 2:54:16 PM


  • HAL Id : hal-00948059, version 1




Benoît Vettier, Catherine Garbay. Abductive Agents for Human Activity Monitoring. International Journal on Artificial Intelligence Tools, World Scientific Publishing, 2014, pp.1-34. ⟨hal-00948059⟩



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