[CI4R-MULTI3-ASL20]

Multi-Frequency RF Sensor Network Isolated ASL Dataset

• Details about radars utilized:
  • This dataset is acquired in a synched fashion using the following co-located radars:
    • XeThru (10 GHz UWB impulse radar)
    • Ancortek SDR Kit (24 GHz FMCW radar with 1500 MHz bandwidth)
    • TI IWR1443 BOOST (77 GHz FMCW radar with 4 GHz bandwidth)
• # Classes:   20
  • YOU
  • HELLO
  • WALK
  • DRINK
  • FRIEND
  • KNIFE
  • WELL
  • CAR
  • ENGINEER
  • MOUNTAIN
  • LAWYER
  • HOSPITAL
  • HEALTH
  • EARTHQUAKE
  • BREATHE
  • HELP
  • PUSH
  • GO
  • COME
  • WRITE
• # Samples/class: ~9
• Github Link: https://github.com/ci4r/20-words_ASL_multi-RF_Dataset
• Publications to be cited:
  • S. Z. Gurbuz et al., “American Sign Language Recognition Using RF Sensing,” in IEEE Sensors Journal, vol. 21, no. 3, pp. 3763-3775, 1 Feb.1, 2021, doi: 10.1109/JSEN.2020.3022376
  • S. Z. Gurbuz et al., “Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition,” in IEEE Sensors Journal, vol. 22, no. 12, pp. 11373-11381, 15 June15, 2022, doi: 10.1109/JSEN.2021