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HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM
Wearable sensor-based human activity recognition (HAR) is a critical research domain in activity perception.
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation
Sensor-based human activity segmentation and recognition are two important and challenging problems in many real-world applications and they have drawn increasing attention from the deep learning community in recent years.
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