IoT and Eye Tracking based system for Cerebral Palsy Diagnosis and Assistive Technology

Children with Dyskinetic Cerebral Palsy often suffer significant challenges in interacting with digital devices due to their impaired motor control which hinder the use of traditional input methods such as keyboard and touch screens. The limitations can be overcome by developing assistive technology such as the IOT based system that the paper proposes. The paper proposes an eye-tracking system that uses web-cameras along with computer vision algorithms to detect gaze direction and blink patterns paired with a handheld IOT console that bridges the interaction between the user and the digital interface. The study also proposes ways to assess and evaluate a patient’s motor and cognitive functions. The proposed solution keeps in mind the motor limitations of a DCP patient and aims to enhance the accessibility of digital interfaces, providing children with severe motor impairments a more intuitive and inclusive means of interacting with technology.