Sensor-based and vision-based human activity recognition: A comprehensive survey
作者：
Highlights：
• A comprehensive review of vision-based and sensor-based human activity recognition.
• Summarize and discuss public datasets that are used in vision-based HAR and sensor-based HAR.
• Categorize and analyze standard data processing, and feature engineering processes used in HAR.
• Categorize and analyze machine learning techniques for HAR and focus on current deep learning research in HAR.
• Discuss challenges and show future directions for HAR.
摘要
•A comprehensive review of vision-based and sensor-based human activity recognition.•Summarize and discuss public datasets that are used in vision-based HAR and sensor-based HAR.•Categorize and analyze standard data processing, and feature engineering processes used in HAR.•Categorize and analyze machine learning techniques for HAR and focus on current deep learning research in HAR.•Discuss challenges and show future directions for HAR.
论文关键词：Human activity recognition,Action recognition,Sensors,Vision,Human-centric sensing,Deep learning,Context-awareness
论文评审过程：Received 4 August 2019, Revised 19 May 2020, Accepted 21 July 2020, Available online 23 July 2020, Version of Record 27 July 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107561
