Name
Abstract | ||
|---|---|---|
Anomaly detection is a crucial issue for people with dementia and their families to live a safe and comfortable life at home. The elderly monitoring system is a promising solution. However, the conventional systems have limitations in detectable anomalies and support actions, which cannot fully cover individual needs. To achieve more person-centered home care for people with dementia, our research group has been studying environmental sensing with IoT. In this paper, using the environmental sensing, we propose a new service that allows individual users to customize definition of anomaly and corresponding actions. Specifically, borrowing a mechanism of context-aware services, we regard every anomaly observed within the house as a context. We then define every care as an action bound to an anomaly context. This achieves the personalized anomaly detection and care. To demonstrate the feasibility, we implement a prototype system and conduct a practical case study. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-40247-5_28 | Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management |
Field | DocType | Volume |
Anomaly detection,Monitoring system,Computer security,Support system,Computer science,Internet of Things,Home automation,Environmental sensing,Service layer,Dementia | Conference | 9745 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazunari Tamamizu | 1 | 3 | 1.38 |
| Seiki Tokunaga | 2 | 4 | 3.59 |
| Sachio Saiki | 3 | 55 | 24.46 |
| Shinsuke Matsumoto | 4 | 205 | 33.53 |
| Masahide Nakamura | 5 | 526 | 72.51 |
| Kiyoshi Yasuda | 6 | 1 | 4.75 |