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.
| Originalsprog | Engelsk |
|---|---|
| Titel | ETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications |
| Antal sider | 7 |
| Forlag | Association for Computing Machinery |
| Publikationsdato | 2012 |
| Sider | 139-146 |
| ISBN (Trykt) | 978-1-4503-1221-9 |
| DOI | |
| Status | Udgivet - 2012 |
| Begivenhed | Symposium: Eye Tracking Research & Applications: http://www.etra2012.org/ - Santa Barbara, CA, USA Varighed: 28 mar. 2012 → 30 mar. 2012 Konferencens nummer: 7 http://www.etra2012.org/ |
Konference
| Konference | Symposium: Eye Tracking Research & Applications |
|---|---|
| Nummer | 7 |
| Land/Område | USA |
| By | Santa Barbara, CA |
| Periode | 28/03/2012 → 30/03/2012 |
| Internetadresse |
Emneord
- Head Gesture Recognition
- Eye Tracker
- Gaze Interaction
- Head-Mounted Devices
- Gesture Classifier