Name
Title | ||
|---|---|---|
Tactile Interaction And Social Touch: Classifying Human Touch Using A Soft Tactile Sensor |
Abstract | ||
|---|---|---|
This paper presents an ongoing study on affective human-robot interaction. In our previous research, touch type is shown to be informative for communicated emotion. Here, a soft matrix array sensor is used to capture the tactile interaction between human and robot and 6 machine learning methods including CNN, RNN and C3D are implemented to classify different touch types, constituting a pre-stage to recognizing emotional tactile interaction. Results show an average recognition rate of 95% by C3D for classified touch types, which provide stable classification results for developing social touch technology. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3125739.3132614 | PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON HUMAN AGENT INTERACTION (HAI'17) |
Keywords | Field | DocType |
Tactile interaction, social touch, affective HRI, machine learning | Matrix Array,Computer vision,Computer science,Simulation,Social touch,Artificial intelligence,Robot,Tactile sensor | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiong Sun | 1 | 0 | 0.34 |
| Sergey Redyuk | 2 | 0 | 0.34 |
| Erik A. Billing | 3 | 53 | 7.00 |
| Dan Högberg | 4 | 8 | 3.07 |
| Paul Hemeren | 5 | 1 | 1.38 |