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SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
May 3, 2024, 4:53 a.m. | Duc-Anh Nguyen, Nhien-An Le-Khac
cs.LG updates on arXiv.org arxiv.org
Abstract: Human Activity Recognition (HAR) is a well-studied field with research dating back to the 1980s. Over time, HAR technologies have evolved significantly from manual feature extraction, rule-based algorithms, and simple machine learning models to powerful deep learning models, from one sensor type to a diverse array of sensing modalities. The scope has also expanded from recognising a limited set of activities to encompassing a larger variety of both simple and complex activities. However, there still …
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