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صفحه اصلی
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سی و سومین کنفرانس بین المللی مهندسی برق
Gesture recognition of hand movements using mechanomyography
نویسندگان :
Ashkan Elyasinia
1
Raheleh Davoodi
2
Sedighe Dehghani
3
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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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
