<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The line of sight reflects the focus of human attention. Gaze estimation technology has a wide range of application prospects in human-computer interaction, human emotion analysis, commercial advertising, and so on. Gaze estimation needs to be jointly determined by eye movement and head movement because the human gaze is often with the head movement. In this paper, a gaze estimation system with head movement is implemented by a monocular camera, using eye movement features and head movement posture changes to estimate the gaze point. A camera is used as the information acquisition device to extract the eye movement feature information, and the offset of head movement is estimated at the same time. The final fixation point position coordinates are obtained by compensating the fixation point position in the case of head movement, and then the fixation point position coordinates are estimated. For the compensated gaze drop point, the average pixel error on the X-axis is estimated to be 118 pixels, and the average pixel error on the Y-axis is estimated to be 136 pixels.</p>
</abstract>

The line of sight reflects the focus of human attention. Gaze estimation technology has a wide range of application prospects in human-computer interaction, human emotion analysis, commercial advertising, and so on. Gaze estimation needs to be jointly determined by eye movement and head movement because the human gaze is often with the head movement. In this paper, a gaze estimation system with head movement is implemented by a monocular camera, using eye movement features and head movement posture changes to estimate the gaze point. A camera is used as the information acquisition device to extract the eye movement feature information, and the offset of head movement is estimated at the same time. The final fixation point position coordinates are obtained by compensating the fixation point position in the case of head movement, and then the fixation point position coordinates are estimated. For the compensated gaze drop point, the average pixel error on the X-axis is estimated to be 118 pixels, and the average pixel error on the Y-axis is estimated to be 136 pixels.

Research on Gaze Estimation Method Combined with Head Motion Changes

School of Computer Science and Engineering

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Research on Gaze Estimation Method Combined with Head Motion Changes"}

The line of sight reflects the focus of human attention. Gaze estimation technology has a wide range of application prospects in human-computer interaction,...

State of the head	average pixel error		average Angle error
State of the head	X-axis (pixel)	Y-axis (pixel)	X-axis (degree)	Y-axis (degree)
The head rest	83	125	1.74	2.32
The head movement (No compensation)	265	380	7.23	8.15
The head movement (A compensation)	118	136	2.88	3.23

Research on Gaze Estimation Method Combined with Head Motion Changes

Online veröffentlicht: 26. Mai 2023

Seitenbereich: 89 - 96

DOI: https://doi.org/10.2478/ijanmc-2022-0040

Schlüsselwörter
Gaze Estimation, Head Movement, Pupil Center Detection, Head Eye Movement

© 2022 Xiangyi Zhan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Comparison table of experimental results under different conditions

Research on Gaze Estimation Method Combined with Head Motion Changes

Online veröffentlicht: 26. Mai 2023

Seitenbereich: 89 - 96

DOI: https://doi.org/10.2478/ijanmc-2022-0040

SchlüsselwörterGaze Estimation, Head Movement, Pupil Center Detection, Head Eye Movement

© 2022 Xiangyi Zhan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Comparison table of experimental results under different conditions

Schlüsselwörter
Gaze Estimation, Head Movement, Pupil Center Detection, Head Eye Movement