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Achieving 98% accuracy in estimating ground reaction forces for Parkinson's gait using just two wearable IMUs could revolutionize remote patient monitoring.
FAiT outperforms traditional Transformers by capturing evolving spectral characteristics in time series data, enabling sharper forecasts of transient signals.
