PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Magherini T., Fantechi A., Nugent C., Vicario E. Using temporal logic and model checking in automated recognition of human activities for ambient-assisted living. In: IEEE Transactions on Human-Machine Systems, vol. 43 (6) pp. 509 - 521. IEEE, 2013.
 
 
Abstract
(English)
Automated monitoring and the recognition of activ- ities of daily living (ADLs) is a key challenge in ambient-assisted living (AAL) for the assistance of the elderly. Within this context, a formal approach may provide a means to fill the gap between the low-level observations acquired by sensing devices and the high- level concepts that are required for the recognition of human activ- ities. We describe a system named ARA (Automated Recognizer of ADLs) that exploits propositional temporal logic and model check- ing to support automated real-time recognition of ADLs within a smart environment. The logic is shown to be expressive enough for the specification of realistic patterns of ADLs in terms of basic actions detected by a sensorized environment. The online model checking engine is shown to be capable of processing a stream of detected actions in real time. The effectiveness and viability of the approach are evaluated within the context of a smart kitchen, where different types of ADLs are repeatedly performed.
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6670821
DOI: 10.1109/TSMC.2013.2283661
Subject Activities of Daily Living (ADL)
Activity recognition
Ambient Assisted Living (AAL)
Model checking
Real-time processing
Temporal logic
D.2.4 SOFTWARE ENGINEERING. Formal Methods


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