HYCARE: A Hybrid Context-Aware Reminding Framework for Elders with Mild Dementia
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
An activity monitoring system for elderly care using generative and discriminative models
Personal and Ubiquitous Computing
Handling conflicts of context-aware reminding system in sensorised home
Cluster Computing
Recognition of coupling-paired activities in daily life
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
Smart object reminders with RFID and mobile technologies
Mobile Information Systems
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Older people with dementia often decline in short-term memory and forget what to do next to complete their activities of daily living (ADLs), such as tea-making and toothbrushing. Therefore, they need caregivers to remind they what to do to complete these activities. However, the steady growth of aging population makes the (relatively) shortage of traditional care resources more and more serious. In this paper, we propose a prototype called CoReDA (Context-aware Reminding system for Daily Activities) to help elderly with dementia complete different ADLs instead of caregivers. By using the wireless sensor node - PAVENET, CoReDA can obtain elderly people's information of tool usage in different ADLs. Based on this information, CoReDA uses TD (\lambda) Q-Learning technique to provide elderly people their personalized guidance to complete ADLs.