کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Gesture recognition of hand movements using mechanomyography

نویسندگان :

Ashkan Elyasinia¹ Raheleh Davoodi² Sedighe Dehghani³

1- دانشگاه شهید بهشتی 2- دانشگاه شهید بهشتی 3- دانشگاه شهید بهشتی

کلمات کلیدی :

Mechanomyography،Hand gesture،Machine learning،Signal processing،recognition

چکیده :

Hand gesture recognition is an essential area of research in human-machine interaction, with applications ranging from rehabilitation engineering to sign language interpretation. Mechanomyography (MMG), which records the mechanical activity of muscles, has emerged as a low-cost and effective method for gesture recognition. This study investigates the use of MMG signals for recognizing eight distinct hand movements, leveraging low-cost accelerometers and machine learning algorithms to achieve robust classification. By employing wireless data acquisition and advanced signal processing techniques, we aim to contribute to the development of accessible, real-time .gesture recognition systems

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