SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning

This Systematisation of Knowledge (SoK) paper analyzes why deep learning models struggle with complex Human Activity Recognition (HAR). It systematically examines challenges across sensor types, data variability, model capacity, and evaluation methods. The findings guide future research toward better domain generalization and multimodal fusion to improve accuracy.

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