Human activity recognition based on Hidden Markov Models using computational RFID

@article{Hu2017HumanAR,
  title={Human activity recognition based on Hidden Markov Models using computational RFID},
  author={Guibing Hu and Xuesong Qiu and Luoming Meng},
  journal={2017 4th International Conference on Systems and Informatics (ICSAI)},
  year={2017},
  pages={813-818}
}
RFID is widely adopted for human activity recognition in interior environments, e.g., elder-caring. Gaining insight through raw RFID data analysis is the key part of the human activity recognition systems. However, the inviolable uncertainty in RFID data, including external environment noise and fragmentary reading (reading collision), increase the difficulty for high-level application widely adoption. In order to address these challenges, we proposing a Hidden Markov Models based data analysis… CONTINUE READING