Assisting System for Paralyzed Patients Using Eye Gesture
Kiran Divya, S. Sivakumari, P. Amudha · Zenodo (CERN European Organization for Nuclear Research) · 2021
Paralysis is a loss of muscle function in a part of your body. It can be localized or generalized, partial or complete, and temporary or permanent. Paralysis can affect any part of your body at any time in your life. HCI process is completed by applying a digital signal processing system which takes the analog input from the disabled people by using dedicated hardware with software. Face and eye detection algorithm is used to identify and recognize the user input using web camera. The predefined pattern matching is initialized for detecting a face from the USB camera feed. Pattern matching algorithm is used to compute the pattern related to the mouse movement. Supervised learning with back propagation is used to identify the input type and click operation on the particular action event. When the position of the user is sufficiently constant, the system for detecting and analysing blinks and mouse movements is initialized automatically, depending on the involuntary blink of the user. This approach is efficient for paralyzed patients.