An Eye-Tracker-Based 3D Point-of-Gaze Estimation Method Using Head Movement
| Autor: | Kosin Chamnongthai, Wudthipong Pichitwong |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
030309 nutrition & dietetics Head (linguistics) Computer science 02 engineering and technology Tracking (particle physics) gaze tracking eye tracker Pupil 03 medical and health sciences Intersection Position (vector) 0202 electrical engineering electronic engineering information engineering General Materials Science Point (geometry) Computer vision 0303 health sciences business.industry General Engineering Gaze 3D gaze estimation Sight Eye tracking 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering Artificial intelligence business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 7, Pp 99086-99098 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2929195 |
| Popis: | Eye trackers are currently used to sense the positions of both the centers of the pupils and the point-of-gaze (POG) position on a screen, in keeping with the original objective for which they were designed; however, it remains difficult to measure the positions of three-dimensional (3D) POGs. This paper proposes a method for 3D gaze estimation by using head movement, pupil position data, and POGs on a screen. The method assumes that a person, usually unintentionally, moves his or her head a short distance such that multiple straight lines can be drawn from the center point between the two pupils to the POG. When the person is continuously focusing on a given 3D POG while moving, these lines represent the lines of sight that intersect at a 3D POG. That 3D POG can, therefore, be found from the intersection of several lines of sight formed by head movements. To evaluate the performance of the proposed method, experimental equipment was constructed, and experiments with five male and five female participants were performed in which the participants looked at nine test points in a 3D space for approximately 20 s each. The experimental results reveal that the proposed method can measure 3D POGs with average distance errors of 13.36 cm, 7.58 cm, 5.72 cm, 3.97 cm, and 3.52 cm for head movement distances of 1 cm, 2 cm, 3 cm, 4 cm, and 5 cm, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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