Abstract
A novel method for video-based head gesture recognition using eye information by an eye tracker has been proposed. The method uses a combination of gaze and eye movement to infer head gestures. Compared to other gesture-based methods a major advantage of the method is that the user keeps the gaze on the interaction object while interacting. This method has been implemented on a head-mounted eye tracker for detecting a set of predefined head gestures. The accuracy of the gesture classifier is evaluated and verified for gaze-based interaction in applications intended for both large public displays and small mobile phone screens. The user study shows that the method detects a set of defined gestures reliably.
| Original language | English |
|---|---|
| Title of host publication | ETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications |
| Number of pages | 7 |
| Publisher | Association for Computing Machinery |
| Publication date | 2012 |
| Pages | 139-146 |
| ISBN (Print) | 978-1-4503-1221-9 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | Symposium: Eye Tracking Research & Applications: http://www.etra2012.org/ - Santa Barbara, CA, United States Duration: 28 Mar 2012 → 30 Mar 2012 Conference number: 7 http://www.etra2012.org/ |
Conference
| Conference | Symposium: Eye Tracking Research & Applications |
|---|---|
| Number | 7 |
| Country/Territory | United States |
| City | Santa Barbara, CA |
| Period | 28/03/2012 → 30/03/2012 |
| Internet address |
Keywords
- Head Gesture Recognition
- Eye Tracker
- Gaze Interaction
- Head-Mounted Devices
- Gesture Classifier