Low-cost Wearable Eye Gaze Detection and Tracking System
- Resource Type
- Conference
- Authors
- Lee, Ko-Feng; Chen, Yen-Lin; Yu, Chao-Wei; Wu, Cheng-Han; Hsiao, Chia-Yu
- Source
- 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) Consumer Electronics - Taiwan (ICCE-TW), 2019 IEEE International Conference on. :1-2 May, 2019
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
- Language
This study use headset is adaptable by integration of the elastic mechanism design. This proposed system can effectively extract and estimate pupil ellipse from few camera-captured samples of an eye, and compute the corresponding 3D eye model. Then match the later pupil ellipse to give the possible visual angle. We use multiple points calibration method to solve the related polynomial formula for future angle-to-gaze mapping. The proposed eye tracking algorithms can provide a low-complexity solution and provide high accuracy precision and speed.