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

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

24 April 2020

Tibor Schneider

Michael Hersche

Lukas Cavigelli

Luca Benini

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

4 / 4 papers shown

Title
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design Cong Hao Jordan Dotzel Jinjun Xiong Luca Benini Zhiru Zhang Deming Chen 50 34 0 25 Mar 2021
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework Mahbod Nouri Faraz Moradi Hafez Ghaemi A. Nasrabadi 14 10 0 25 Dec 2020
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification Michael Hersche Luca Benini Abbas Rahimi MQ 18 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 19 190 0 31 May 2020