⚡ electrical engineering
KAN-HAR: A Human activity recognition based on Kolmogorov-Arnold Network
This paper proposes KAN-HAR, a human activity recognition framework utilizing Kolmogorov-Arnold Networks and single-axis accelerometer data to achieve competitive classification performance with significantly improved parameter efficiency and interpretability compared to traditional deep learning models.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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