Feature Extraction for Channel State Information in the Frequency Domain for Human Activity Recognition

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I'm currently working on a project focused on human fall detection using channel state information (CSI). As part of this, I'm exploring various feature extraction methods. However, I'm uncertain about the optimal features to extract from the frequency domain.

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