Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning

Author:

Jaswal Gaurav1ORCID,Sharma Geetanjali2ORCID,Dutt Varun2ORCID,Bhavsar Arnav2ORCID

Affiliation:

1. iHub and HCI Foundation Indian Institute of Technology Mandi India, India

2. School of Computing and Electrical Engineering, Indian Institute of Technology Mandi India, India

Publisher

ACM

Reference16 articles.

1. A deep learning approach for decoding visually imagined digits and letters using time–frequency–spatial representation of EEG signals

2. An Explainable Attention-Guided Iris Presentation Attack Detector

3. Teófilo Emídio De Campos , Bodla Rakesh Babu , Manik Varma , 2009. Character recognition in natural images.VISAPP (2) 7, 2 ( 2009 ), 1–8. Teófilo Emídio De Campos, Bodla Rakesh Babu, Manik Varma, 2009. Character recognition in natural images.VISAPP (2) 7, 2 (2009), 1–8.

4. A GAN model encoded by CapsEEGNet for visual EEG encoding and image reproduction

5. Envisioned speech recognition using EEG sensors

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