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Ambient Assistive Health and Wellness Management in the Heart of the City

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The article was published on 2009-01-01 and is currently open access. It has received 23 citations till now.

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Journal ArticleDOI

Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature

TL;DR: This work advocates moving to ontology-based design of information systems to enable more reliable use of routine data to measure health mechanisms and impacts and identifies mechanisms to manage DQ in integrated CDM.
Book ChapterDOI

Mobile personal health care system for patients with diabetes

TL;DR: A personal diabetes monitoring system which integrates wearable sensors, 3G mobile phone, smart home technologies and Google Health to facilitate the management of chronic disease - diabetes.
Book ChapterDOI

“Maybe it becomes a buddy, but do not call it a robot” – seamless cooperation between companion robotics and smart homes

TL;DR: It is argued that the robot persona, rather than the physical embodiment, is the most important determinant of the degree of users' acceptance in terms of Users' perceived trustability and responsiveness of the robot and therefore their sense of enhanced usability and satisfaction with such personal assistive systems.
Book ChapterDOI

Mining Correlation Patterns among Appliances in Smart Home Environment

TL;DR: A novel algorithm, namely, Correlation Pattern Miner (CoPMiner), is developed to capture the usage patterns and correlations among appliances probabilistically and can reduce the search space effectively and efficiently.
Book ChapterDOI

99-110 Mining appliance usage patterns in smart home environment

TL;DR: Two types of usage patterns which capture the representative usage behaviors of appliances in a smart home environment and the corresponding algorithms for discovering usage patterns efficiently are introduced and applied on a real-world dataset to show the practicability of usage pattern mining.
Related Papers (5)