In order to provide a unique method of interaction between people and computers, this study suggests a hand-free human-machine interaction (HMI) system. Regular computer mouse use causes the user's hand to pronate for an extended period of time, which worsens wrist and hand irritation. Additionally, the requirement for a hand prevents handicapped individuals from using computers. In this study, we design a new pointing device for persons with disabilities based on open and closed human eyes with inertia measurement that limits to deal with carpal tunnel syndrome (CTS) for ordinary people and provides a unique manner for the handicap people to communicate with computers. The suggested system uses a human head motion and eye movement to produce mouse cursor movement and clicking. The location of the mouse pointer on the computer screen is determined by the head gesture using a three-axis combination accelerometer and gyroscope. The user must briefly close one eye while opening another in order to complete the left and right clicking action. The creation of a deep learning technique is also used in this work, and it achieves an accuracy of 95.36% when classifying the individual openness and closeness of both human eyes. This enables complete control over the clicking performance. The suggested device's smooth and precise functioning is confirmed by the use of a complementary filter, which eliminates noise and drift from the achieved performance. To demonstrate the viability of the suggested HMI system, an experimental validation is included. The experimental details and performance assessment demonstrate that the proposed HMI system offers substantial control over how well it performs for persons with disabilities.
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