Abstract | ||
---|---|---|
In many societies, the age profile of the population is increasing, posing many challenges for societies, health services and carers. One response to this unfolding situation has been to direct research effort towards Ambient Assisted Living (AAL), specifically, its enabling technologies. A critical impediment to the deployment of such systems remains the accurate and timely identification of the Activities of Daily Living (ADLs). This paper advocates a minimalist approach to ADL recognition; rather than capturing all possible ADLs, the reliable identification of a select subset of ADLs may prove sufficient for many categories of AAL services. A methodology is described and initial results presented. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1007/978-3-642-39844-5_12 | ICSH |
Keywords | DocType | Citations |
enabling technology,health service,aal service,bootstrapping activity modeling,adl recognition,age profile,reliable identification,possible adls,critical impediment,timely identification,direct research effort,activity recognition,user modeling | Conference | 2 |
PageRank | References | Authors |
0.45 | 14 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Wan | 1 | 15 | 3.75 |
Michael J. O'Grady | 2 | 197 | 28.94 |
Gregory M. P. O'Hare | 3 | 977 | 103.51 |