no code implementations • 10 Dec 2023 • Hye-Bin Shin, Kang Yin, Seong-Whan Lee
In the quest for efficient neural network models for neural data interpretation and user intent classification in brain-computer interfaces (BCIs), learning meaningful sparse representations of the underlying neural subspaces is crucial.
1 code implementation • 14 Dec 2022 • Dong-Young Kim, Dong-Kyun Han, Hye-Bin Shin
This paper proposes a calibration-free framework for driver drowsiness state classification using manifold-level augmentation.