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Explainable attention-guided deep learning for physiological signal processing in body area networks
Abstract The incorporation of Body Area Networks (BANs) supports wearable device-based health monitoring and real-time physiological signal processing, where Human Activity Recognition (HAR) acts as a significant medical application. As the demand for smart health monitoring and personalized wellness increases, the utilization of multimodal physiological signals to identify human activities has become a major field of study.
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