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Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
Discovering high performing model architectures for wearables-based Human Activity Recognition (HAR) applications is challenging. The astonishing diversity and variability due to differing sensor locations, recording apparatus, activities, etc., can cause established architectures to perform worse o
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