[CI4R-MIX77]
Mixed-Motion Sequential Activity + ASL Dataset
This dataset involves continuous recordings of sequential activities, where ASL gestures are intermixed with daily human activities.
- Details about radar utilized:
- TI AWR1642 BOOST (77 GHz FMCW)
- TI AWR1642 BOOST (77 GHz FMCW)
- # Classes: 19
- # Samples/class: ~150
- GitHub Link to Data from Imitation Signers: https://github.com/ci4r/ASL-Sequential-Dataset
- Publications to be cited:
- E. Kurtoğlu, A. C. Gurbuz, E. A. Malaia, D. Griffin, C. Crawford and S. Z. Gurbuz, “ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces,” in IEEE Transactions on Human-Machine Systems, vol. 52, no. 4, pp. 699-712, Aug. 2022, doi: 10.1109/THMS.2021.3131675.