eye_tracker_data

The eye gaze images were captured using a smartphone device. Participants were asked to look at a camera and move their eye to the left, right, down, up and straight, resulting in a dataset of eye gaze images for analysis. The dataset consists of a total of 7,500 eye gaze images captured from 12 participants. Each image is labeled with one of five categories: left, right, up, down, or straight. The dataset is evenly distributed across these five categories, with 1,500 images for each category. The dataset of eye gaze images could be used to develop applications that can accurately predict the direction of a user's eye gaze based on the captured images. This could have applications in fields such as virtual reality, where accurate tracking of eye gaze is important for creating realistic experiences. Additionally, the findings of this study could be used to inform the design of assistive technology for individuals with disabilities that affect their ability to control their eye movements.