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Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces

International Conference on Smart Computing (SMARTCOMP), 2020

24 April 2020

Luca Benini

Papers citing "Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces"

6 / 6 papers shown

vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders

251

16 Nov 2023

Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets

Pierre Guetschel

Michael Tangermann

193

04 Sep 2023

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-designIEEE design & test (DT), 2021

Cong Hao

Jordan Dotzel

Jinjun Xiong

Luca Benini

Zhiru Zhang

Deming Chen

288

25 Mar 2021

Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework

558

25 Dec 2020

Binarization Methods for Motor-Imagery Brain-Computer Interface Classification

Michael Hersche

Luca Benini

Abbas Rahimi

314

14 Oct 2020

EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine InterfacesIEEE International Conference on Systems, Man and Cybernetics (SMC), 2020

Luca Benini

237

326

31 May 2020