Development of a Wearable Device for Tracking Eye Movement using Pupil Lumination Comparison Algorithm

The researchers aim to develop a wearable device for tracking eye movement using Pupil Lumination Comparison Algorithm that plots eye gazes. Vital components of the wearable hardware are Raspberry Pi Camera, Raspberry Pi 3 computer and IR LED. The wearable device is made out of 1 by 1 inch lumber and a cell phone camera stick. With the aid of four IR LEDs, the Raspberry Pi camera mounted on adjustable wearable setup for clearer view compensation obtained useful set of images to be used for pre-processing and gaze plotting stage of Pupil Lumination Comparison Algorithm. The researchers were able to meet the objectives by developing a wearable hardware for tracking eye movement with adjustable horizontal and vertical mounts. The wearable hardware successfully tracks eye movement of all the twenty subjects. The result shows that the eye fixation accuracy of all twenty subjects falls under the basis of the test mean values thus, test mean values of all the twenty subjects of the study are acceptable.