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This paper presents a novel unsupervised spatial data mining model especially adapted for activity recognition inside a smart home. The goal of our research is to have a scalable, simple to implement model that could enable to recognize the resident's Activities of Daily Living (ADLs). Our algorithm exploits ubiquitous sensors and passive RFID technology to achieve the learning and the recognition...
The number of seniors and other people needing daily assistance continues to increase, but the current human resources available to achieve this in the coming years will certainly be insufficient. To remedy this situation, smart habitats have emerged as an innovative avenue for supporting needs of daily assistance. Smart homes aim to provide cognitive assistance in decision making by giving hints,...
Modern societies are facing an important aging of their population, leading to rising economic and social challenges such as the pressure on health support services for semi-autonomous persons. Smart home technology is considered by many researchers as a promising potential solution to help support the needs of elders. It aims to provide cognitive assistance by taking decisions, such as giving hints,...
Most industrialized countries are facing an important aging of their population. To meet needs of seniors and meet economic and sociological challenges such as the pressure on health support services for semi-autonomous persons, smart home technology is considered by many researchers as a promising potential solution. This approach proposes to use ubiquitous sensors hidden in the environment for monitoring...
The smart home paradigm is a promising new trend of research aiming to propose an alternative to postpone the institutionalization of cognitively-impaired silver-aged people. These habitats are intended to provide security, guidance and direct support services to its resident. To be able to fulfill this important mission, a smart home system first has to identify the ongoing activities of its user...
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