An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for
Low-Power Edge Computing

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing

31 March 2020

Michael Hersche

Batuhan Tömekçe

Michele Magno

Luca Benini

Papers citing "An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing"

5 / 5 papers shown

Title
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT) Benjamin J. Choi 57 1 0 07 Feb 2025
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices T. Basaklar Y. Tuncel S. Y. Narayana S. Gumussoy Ümit Y. Ogras 13 25 0 08 Mar 2021
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification Michael Hersche Luca Benini Abbas Rahimi MQ 23 8 0 14 Oct 2020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces T. Ingolfsson Michael Hersche Xiaying Wang Nobuaki Kobayashi Lukas Cavigelli Luca Benini 26 190 0 31 May 2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces Tibor Schneider Xiaying Wang Michael Hersche Lukas Cavigelli Luca Benini 11 24 0 24 Apr 2020