Corpus ID: 236447678

Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System

@article{Darafsh2021RealTimeAR,
  title={Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System},
  author={Sahar Darafsh and Saeed Shiry Ghidary and Morteza Saheb Zamani},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12744}
}
With the rapid increase in digital technologies, most fields of study include recognition of human activity and intention recognition, which are important in smart environments. In this research, we introduce a real-time activity recognition to recognize people’s intentions to pass or not pass a door. This system, if applied in elevators and automatic doors will save energy and increase efficiency. For this study, data preparation is applied to combine the spatial and temporal features with the… Expand

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