The recognition of activities performed by humans is key challenge in several research areas. Automated activity recognition systems may improve quality of life of elderly people, monitoring their behaviours and preventing dangerous situations , in the Ambient Assisted Living (AAL) context, and may support human operators during the detection of malicious situations in the Surveillance context. Advances in technologies allow the introduction of information sources into everyday objects, however, the data gathered from these pervasive devices may contain sensible user information, arising privacy and security issues. Nevertheless, a semantic gap exists between these data and information needed for the recognition process. We propose ARA (Automated Recogniser of ADLs), a system for the automated and real-time recognition of daily human activities in smart environments that guarantees user's information privacy and data security. ARA is based on model checker engine that detects human activities, represented through temporal logic formulae, over the information flow gathered from the sensorized environment.

An On-line system for automated recognition of human activities / Alessandro Fantechi; Chris D. Nugent; Alessandro Pinzuti; Enrico Vicario; Tommaso Magherini. - In: EUROPEAN JOURNAL OF LAW AND TECHNOLOGY. - ISSN 2042-115X. - ELETTRONICO. - 4:(2013), pp. 1-12.

An On-line system for automated recognition of human activities

FANTECHI, ALESSANDRO;VICARIO, ENRICO;MAGHERINI, TOMMASO
2013

Abstract

The recognition of activities performed by humans is key challenge in several research areas. Automated activity recognition systems may improve quality of life of elderly people, monitoring their behaviours and preventing dangerous situations , in the Ambient Assisted Living (AAL) context, and may support human operators during the detection of malicious situations in the Surveillance context. Advances in technologies allow the introduction of information sources into everyday objects, however, the data gathered from these pervasive devices may contain sensible user information, arising privacy and security issues. Nevertheless, a semantic gap exists between these data and information needed for the recognition process. We propose ARA (Automated Recogniser of ADLs), a system for the automated and real-time recognition of daily human activities in smart environments that guarantees user's information privacy and data security. ARA is based on model checker engine that detects human activities, represented through temporal logic formulae, over the information flow gathered from the sensorized environment.
2013
4
1
12
Alessandro Fantechi; Chris D. Nugent; Alessandro Pinzuti; Enrico Vicario; Tommaso Magherini
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/957164
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