Name
Abstract | ||
|---|---|---|
To achieve the scientific long-term care supported by interpretable evidence, we propose the "facial expression sensing service" in this paper. The proposed service allows a user to define custom facial features, so as to capture subtle changes of facial expression. Once the features are defined, the service automatically measures and records the values from real-time media stream obtained from a camera. In the operation, the service recognizes a face of a target person within a media stream, measures the features with timestamp, and records the data in a database. The data can be used to understand how the target person changes the emotion before, during, and after the care treatments. To show the practical feasibility, we conduct an experiment that investigates emotion of elderly people talking to a virtual agent. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/PerComWorkshops48775.2020.9156106 | PerCom Workshops |
Keywords | DocType | ISSN |
Stream mining, Facial expression analysis, Long-term care, Care effect | Conference | 2474-2503 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kosuke Hirayama | 1 | 0 | 0.34 |
| Sachio Saiki | 2 | 0 | 0.34 |
| Masahide Nakamura | 3 | 526 | 72.51 |
| Kiyoshi Yasuda | 4 | 1 | 4.75 |