Abstract: Owing to the ability of automatic feature extraction, deep learning is extensively applied in human activity recognition (HAR) based on radar. In this article, a recognition method based on ...
Autotunable parameters with direct physical interpretation. Easy visualization of all intermediate workflow steps. Collected cluster statistics allow for fine-grained QC and classification of signals.
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