Assistive Control System of Appliances through Gaze Point Eye Tracker with Integrated Graphical User Interface for Bedridden Person

Persons with Disabilities (PWD), specifically, the bedridden person incapable of controlling certain appliances or devices to continue with their daily life which they struggle with. The need for assistive technology arises nowadays, for which artificial intelligence has become valuable and prominent. The implementation of different pattern recognition algorithms is applied to various applications. This paper discusses using the Tobii Eye tracker algorithm to control the appliances with an Arduino with an infrared emitter and relays. In this paper, the measurement of the system response time as a variable leads the parameter of such different calculations. The sample of data was collected at varying head angles of inclination with also varying distances relative to the monitor. The P-values gathered were 0.11947, 0.287368, and 0.120036 at distances of 30 cm, 40cm, and 60 cm, respectively. From the data, it is found that at a level of significance of 0.05, which indicates the system is accurate, leading to not rejecting the null hypothesis that there is a variance in the mean of samples.