Environment and Person-independent Gesture Recognition with Non-static RFID Tags Leveraging Adaptive Signal Segmentation. Golipoor, S. & Sigg, S. In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), pages 1-8, 2024.
doi  bibtex   
@INPROCEEDINGS{10710733,
  author={Golipoor, Sahar and Sigg, Stephan},
  booktitle={2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)}, 
  title={Environment and Person-independent Gesture Recognition with Non-static RFID Tags Leveraging Adaptive Signal Segmentation}, 
  year={2024},
  volume={},
  number={},
  pages={1-8},
  keywords={Image segmentation;Adaptation models;Accuracy;Gesture recognition;Safety;RFID tags;Usability;Time-domain analysis;Random forests;Manufacturing automation;RFID;gesture recognition;human-sensing;sig-nal processing;signal segmentation},
  doi={10.1109/ETFA61755.2024.10710733}}

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