This repository hosts the code and documentation for a novel system designed to empower individuals with severe speech and motor impairment (SSMI). Utilizing eye-tracking technology, the system empowers these individuals to control a robotic arm and a smart wheelchair, thereby enhancing their ability to interact with their environment and gain a greater degree of independence.
Conference News: Thrilled to announce that our research paper has been accepted for presentation at the ICRoM 2023 conference. Link
- Eye-Tracking Module: Utilizes advanced image processing and machine learning techniques to accurately track eye movements.
- Robotic Arm Control: Converts eye movement data into precise commands to control the movements of a robotic arm.
- Wheelchair Navigation System: Interprets eye gestures for directional control of a smart wheelchair, with built-in safety features like automatic obstacle avoidance.
- Results of tests measuring the accuracy and responsiveness of the eye-tracking system.
- User feedback and case studies illustrating the system's impact on individuals with SSMI.
- Kiana Hooshanfar
- Maryam Asad Samani
- Helia Shams Jey
For any queries, please contact k.hooshanfar@ut.ac.ir.