Name
Title | ||
|---|---|---|
From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes. |
Abstract | ||
|---|---|---|
The global population is aging; projections show that by 2050, more than 20% of the population will be aged over 64. This will lead to an increase in aging related illness, a decrease in informal support, and ultimately issues with providing care for these individuals. Assistive smart homes provide a promising solution to some of these issues. Nevertheless, they currently have issues hindering the... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/THMS.2016.2641388 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Intelligent agents,Activity recognition,Smart homes,Hidden Markov models,Aging,Intelligent sensors | Retrofitting,Population,Intelligent agent,Computer security,Computer science,Human–computer interaction,Artificial intelligence,Architecture,Activity recognition,Intelligent sensor,Hidden Markov model,User interface,Machine learning | Journal |
Volume | Issue | ISSN |
47 | 3 | 2168-2291 |
Citations | PageRank | References |
17 | 0.61 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Rafferty | 1 | 54 | 10.70 |
| Chris D. Nugent | 2 | 1150 | 128.39 |
| Jun Liu | 3 | 644 | 56.21 |
| Liming Chen | 4 | 2607 | 201.71 |