Single-Camera Gaze Estimation Based on ShuffleNetV2
- Resource Type
- Conference
- Authors
- Guo, Yixin; Qiu, Liankui; Zhou, Jingpei; Shi, Xuyang
- Source
- 2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS) Power, Intelligent Computing and Systems (ICPICS), 2023 IEEE 5th International Conference on. :677-682 Jul, 2023
- Subject
- Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Iris
Analytical models
Pose estimation
Cameras
Market research
Feature extraction
Robustness
ShuffleNetV2
head pose estimation
gaze estimation
- Language
- ISSN
- 2834-8567
The estimation of the user's gaze is useful in many aspects and future development trend is single-camera gaze estimation, which is conducive to the application of gaze estimation technology on mobile devices. At present, the accuracy and rapidity of head pose estimation are necessary for single-camera gaze estimation. Therefore, a ShuffleNetV2 based head pose estimation is proposed in this paper and verified in data sets of 300W-LP and BIWI. The result shows that the proposed algorithm is superior to the current advanced algorithms. Then the head pose and the simplified eye model are combined to ensure the accuracy of gaze estimation and the robustness of the user's head movement. The result shows that the average accuracy of gaze estimation can reach 5°under the extreme state of head motion.