LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing

Name: LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing
Uploaded: 2026-10-15T02:49:44.599670+00:00
Duration: 341 s
Description: LiteEMG-FM is an efficient foundation model for EMG sensing using a compact 8M parameter CNN-Transformer architecture. It processes raw muscle signals into time-frequency spectrograms to learn robust, transferable representations. The system includes data preprocessing and a deployment framework that balances accuracy with real-time constraints on wearable hardware.

LiteEMG-FM is an efficient foundation model for EMG sensing using a compact 8M parameter CNN-Transformer architecture. It processes raw muscle signals into time-frequency spectrograms to learn robust, transferable representations. The system includes data preprocessing and a deployment framework that balances accuracy with real-time constraints on wearable hardware.

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