Abstract | ||
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Smart environments offer valuable technologies for activity monitoring and health assessment. Here, we describe an integration of robots into smart environments to provide more interactive support of individuals with functional limitations. RAS, our Robot Activity Support system, partners smart environment sensing, object detection and mapping, and robot interaction to detect and assist with activity errors that may occur in everyday settings. We describe the components of the RAS system and demonstrate its use in a smart home testbed. To evaluate the usability of RAS, we also collected and analyzed feedback from participants who received assistance from RAS in a smart home setting as they performed routine activities. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.cogsys.2018.10.032 | Cognitive Systems Research |
Keywords | Field | DocType |
Smart homes,Activity learning,Robot assistance | Object detection,Smart environment,Activities of daily living,Support system,Usability,Psychology,Testbed,Home automation,Human–computer interaction,Artificial intelligence,Robot,Machine learning | Journal |
Volume | ISSN | Citations |
54 | 1389-0417 | 2 |
PageRank | References | Authors |
0.40 | 13 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Garrett Wilson | 1 | 4 | 1.09 |
Christopher Pereyda | 2 | 2 | 0.40 |
Nisha Raghunath | 3 | 3 | 1.42 |
Gabriel V. de la Cruz | 4 | 12 | 2.41 |
Shivam Goel | 5 | 2 | 0.40 |
Sepehr Nesaei | 6 | 2 | 0.40 |
Bryan Minor | 7 | 38 | 3.09 |
Maureen Schmitter-Edgecombe | 8 | 400 | 21.88 |
Matthew E. Taylor | 9 | 1352 | 94.88 |
Diane J. Cook | 10 | 5052 | 596.13 |