Name
Abstract | ||
|---|---|---|
The growth in popularity of smart environments has been quite steep in the last decade and so has the demand for smart health assistance systems. A smart home-based prompting system can enhance these technologies to deliver in-home interventions to a user for timely reminders or a brief instruction describing the way a task should be done for successful completion. This technology is in high demand with the desire for people who have physical or cognitive limitations to live independently in their homes. In this paper, we take the approach to fully automating a prompting system without any predefined rule set or user feedback. Unlike other approaches, we use simple off-the-shelf sensors and learn the timing for prompts based on real data that is collected with volunteer participants in our smart home testbed. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21535-3_2 | ICOST |
Keywords | Field | DocType |
smart environment,smart home,in-home intervention,cognitive limitation,smart health assistance system,high demand,smart home-based prompting system,automated prompting system,last decade,user feedback,brief instruction,smart environments,sensor network,machine learning | Smart environment,Psychological intervention,Computer science,Popularity,Testbed,Home automation,Wireless sensor network,Multimedia | Conference |
Volume | ISSN | Citations |
6719 | 0302-9743 | 5 |
PageRank | References | Authors |
0.57 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barnan Das | 1 | 175 | 9.79 |
| Chao Chen | 2 | 2032 | 185.26 |
| Adriana M. Seelye | 3 | 21 | 2.50 |
| Diane J. Cook | 4 | 5052 | 596.13 |