计算机科学
人工智能
深度学习
数据科学
活动识别
机器学习
作者
Fang Gu,Mu-Huan Chung,Mark Chignell,Shahrokh Valaee,Baoding Zhou,Xue Liu
摘要
Human activity recognition is a key to a lot of applications such as healthcare and smart home. In this study, we provide a comprehensive survey on recent advances and challenges in human activity recognition (HAR) with deep learning. Although there are many surveys on HAR, they focused mainly on the taxonomy of HAR and reviewed the state-of-the-art HAR systems implemented with conventional machine learning methods. Recently, several works have also been done on reviewing studies that use deep models for HAR, whereas these works cover few deep models and their variants. There is still a need for a comprehensive and in-depth survey on HAR with recently developed deep learning methods.
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