Ai Based Muscle Activation Patterns In Daily Grasping Movements From Emg Data
Keywords:
Muscle Activation Analysis, AI in Biomechanics, Electromyography (EMG) Signals, AI in Rehabilitation, Smart Health MonitoringAbstract
Understanding muscle activation patterns during daily grasping movements is essential for enhancing human-machine interaction, rehabilitation technologies, and prosthetic control systems. This project presents an AI-driven approach for analyzing electromyography (EMG) data to detect and classify muscle activation patterns associated with common grasping actions. EMG signals, captured from various muscle groups, are often high-dimensional and noisy, making accurate interpretation a challenging task.
References
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