Name
Abstract | ||
|---|---|---|
In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients' mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.cogsys.2021.12.004 | COGNITIVE SYSTEMS RESEARCH |
Keywords | DocType | Volume |
Social robots, Assistive robots, Emotion detection, Human-robot interaction | Journal | 73 |
ISSN | Citations | PageRank |
2214-4366 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Agnese Augello | 1 | 0 | 0.34 |
| Ignazio Infantino | 2 | 151 | 32.13 |
| Giovanni Pilato | 3 | 0 | 0.34 |
| Gianpaolo Vitale | 4 | 0 | 0.34 |