A Vision System for Intelligent Monitoring of Activities of Daily Living at Home

Chaaraoui, Alexandros André; Padilla-López, José Ramón; Ferrández-Pastor, Francisco-Javier; García‐Chamizo, Juan Manuel; Nieto-Hidalgo, Mario; Romacho-Agud, Vicente; Flórez-Revuelta, Francisco

doi:10.1007/978-3-319-03092-0_14

Cited by 1 publication

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“…In this regard, the vision@home project (a related conference publication has been presented in the last International Work-conference on Ambient Assisted Living (IWAAL 2013)) [ 4 ] aims to increase the personal autonomy of elderly and impaired people by means of supporting AAL services, such as, for instance, the detection of home accidents, long-term behaviour analysis, telecare and telerehabilitation. In this intelligent monitoring system, mainly visual information is considered to perform human behaviour analysis.…”

Section: Introductionmentioning

confidence: 99%

A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context

Chaaraoui

Padilla-López

Ferrández-Pastor

et al. 2014

Sensors

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Due to progress and demographic change, society is facing a crucial challenge related to increased life expectancy and a higher number of people in situations of dependency. As a consequence, there exists a significant demand for support systems for personal autonomy. This article outlines the vision@home project, whose goal is to extend independent living at home for elderly and impaired people, providing care and safety services by means of vision-based monitoring. Different kinds of ambient-assisted living services are supported, from the detection of home accidents, to telecare services. In this contribution, the specification of the system is presented, and novel contributions are made regarding human behaviour analysis and privacy protection. By means of a multi-view setup of cameras, people's behaviour is recognised based on human action recognition. For this purpose, a weighted feature fusion scheme is proposed to learn from multiple views. In order to protect the right to privacy of the inhabitants when a remote connection occurs, a privacy-by-context method is proposed. The experimental results of the behaviour recognition method show an outstanding performance, as well as support for multi-view scenarios and real-time execution, which are required in order to provide the proposed services.

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Section: Introductionmentioning

confidence: 99%