Abstract
We evaluate the use of Electric Muscle Stimulation (EMS) as a method of amplifying emotional responses to multimedia content. .is paper presents an auto-calibration method to stimulate two facial expressions using EMS. We focus on two expressions: frown and smile. We a.empted control of facial muscles with facial feedback for automatically calibrating these facial expressions: our computer vision system detects the facial expression and autocalibrates the EMS parameters (intensity and duration) based on the user's current facial expression. We present results from a pilot study with four participants evaluating the auto-calibration system and collecting initial feedback on the use of EMS to augment, for example, media experiences: while watching movies we can enhance the emotional response of the users during happy and sad scenes by stimulating corresponding face muscles.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 9th Augmented Human International Conference, AH 2018 |
| Editors | Geehyuk Lee |
| Place of Publication | New York BNY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450354158 |
| DOIs | |
| Publication status | Published - Feb 2018 |
| Externally published | Yes |
| Event | Augmented Human International Conference 2018 - Seoul, Korea, South Duration: 7 Feb 2018 → 9 Feb 2018 Conference number: 9th http://www.sigah.org/AH2018/ https://dl.acm.org/doi/proceedings/10.1145/3174910 (Proceedings) |
Conference
| Conference | Augmented Human International Conference 2018 |
|---|---|
| Abbreviated title | AH 2018 |
| Country/Territory | Korea, South |
| City | Seoul |
| Period | 7/02/18 → 9/02/18 |
| Internet address |
Keywords
- Affective computing
- Electrical Muscle Stimulation (EMS)
- Emotion
- Facial feedback
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