Abstract:
This study proposes a hand-free human-machine interaction (HMI) system that enables unique interaction between individuals and computers. Traditional computer mouse usage can cause wrist and hand discomfort due to prolonged pronation, and it poses challenges for individuals with disabilities. To address these issues, we design a novel pointing device based on open and closed human eyes, incorporating inertia measurement to alleviate carpal tunnel syndrome (CTS) for regular users and provide a unique communication method for individuals with disabilities. The suggested system utilizes head motion and eye movement to control mouse cursor movement and clicking. Head gestures are detected using a three-axis combination accelerometer and gyroscope to determine the mouse pointer's location on the computer screen. For left and right clicking actions, the user briefly closes one eye while keeping the other open. Deep learning techniques are employed to classify the openness and closeness of both human eyes with an accuracy of 95.36%, ensuring precise control over clicking performance. The system's smooth and accurate functioning is achieved through the use of a complementary filter, which eliminates noise and drift. Experimental validation demonstrates the effectiveness of the proposed HMI system, particularly for individuals with disabilities.
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