Gaze Assisted Transaction
Ektha Bijapur, Pooja K. Joshi, Shrinivas Vaidya, Sneha Sarawad, Vaishnavi Vaishnavi · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: Automated Teller Machine (ATM) was introduced in the year 1959 for encouraging self service in retail banking. The single smart card ATM for multiple bank accounts is used for security applications for withdrawing cash from ATM machines. Eye tracking has been introduced as a way of direct interaction which could pave the way for new technologies and devices to be introduced for end-users. It is becoming a popular way of interaction. Gaze coordinates could be used to pinpoint the target selected by the user on the screen, then proceed to do a command more efficiently. We hypothesize that the limitations and disadvantages mentioned for touch screen interfaces can be improved by adding gaze capabilities. It is worth mentioning that gaze along with the touch method. Therefore, the targeting can be done via gaze and the selection by touch, which will improve the efficiency and also the screen is not obscured by hand during targeting and even increases the security. The proposed project is based on Event based architecture. CNN algorithm has been chosen to improve the efficiency of the project. The model is easily adaptable to complex, often chaotic environments and the system is easily extendable when new event types appear. The User interface will be designed to be user friendly and comfortable. The design uses a toolkit DLIB for making real world machine learning and data analysis applications. Dlib is majorly used for face detection and facial landmark detection. The system can be divided into two parts. The first part consists of eye typing implementation and the second part is text entry into the system.