Eye-gesture control of computer systems via artificial intelligence

Abstract

Background Artificial Intelligence (AI) has the potential to significantly enhance human-computer interactions. This paper introduces a cutting-edge method for computer control using eye-gesture recognition. Methods Our system employs a sophisticated algorithm to accurately interpret eye movements, converting them into actionable commands. This technology not only improves accessibility for individuals with physical impairments, but also offers a more intuitive interaction mode for the general user base. Results We tested our method using a comprehensive dataset and achieved a remarkable accuracy rate of over 99.6283% in translating eye gestures into functional commands. Our system utilizes a variety of tools, including PyCharm, OpenCV, mediapipe, and pyautogui, to achieve these results. Conclusions We discuss potential applications of our technology, such as in the emerging field of gesture-controlled weaponry, which could have significant implications for military and rescue operations. Overall, our work represents a substantial step forward in integrating AI with human-computer interaction, enhancing accessibility, improving user engagement, and unlocking innovative applications for critical industries.