Name
Abstract | ||
|---|---|---|
Assistive technology in smart homes for elderly people with Alzheimer's disease is needed to support 'aging in place'. In this paper, we propose a probabilistic learning approach to characterise behavioural patterns for multi-inhabitants in smart homes. Decision support is then provided to monitor and assist patients to complete activities of daily living (ADL). Reasoning is based on the learned profiles and partially observed low-level sensors information. Data are stored in the proposed snow-flake schema based on homeML (an XML based schema for representation of information within smart homes). A laboratory has been developed for studying activities of 'making drinks' for multiple users. Evaluations of our learning and decision support approach are carried out on both real and simulated data. The potential of our approach to support assistive living and home-health monitoring of Alzheimer's patients is demonstrated. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CBMS.2008.16 | CBMS |
Keywords | Field | DocType |
decision support approach,smart homes,classification,home-health monitoring,daily living activities,proposed snow-flake schema,probabilistic learning,assistive living,decision support,smart home,geriatrics,home automation,patient monitoring,simulated data,computerised monitoring,behavioural patterns,reasoning,behavioural pattern,daily living,decision support systems,low-level sensors information,multiinhabitants,alzheimer disease,elderly people,handicapped aids,assistive technology,alzheimer patients,probability distribution,activity of daily living,data models,aging,intelligent sensors,sensors,training data | Data mining,Data modeling,Activities of daily living,XML,Computer science,Simulation,Decision support system,Home automation,Human–computer interaction,Probabilistic logic,Aging in place,Schema (psychology) | Conference |
ISSN | ISBN | Citations |
1063-7125 | 978-0-7695-3165-6 | 9 |
PageRank | References | Authors |
0.71 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuai Zhang | 1 | 43 | 9.10 |
| Sally Mcclean | 2 | 1029 | 132.29 |
| Bryan W. Scotney | 3 | 670 | 82.50 |
| Xin Hong | 4 | 142 | 7.12 |
| Chris Nugent | 5 | 196 | 17.80 |
| Maurice D. Mulvenna | 6 | 529 | 63.64 |