A CNN trained on combined EMG and IMU signals classifies five daily movements for ankle exoskeleton control with 96.5% offline accuracy, though new-user accuracy is much lower before fine-tuning and real-time operation is not evaluated.
Androwis, Brian M
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Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals
A CNN trained on combined EMG and IMU signals classifies five daily movements for ankle exoskeleton control with 96.5% offline accuracy, though new-user accuracy is much lower before fine-tuning and real-time operation is not evaluated.