428 citations · 4.5k across the 191 of their papers we have counts for
10 papers · 2 filters
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification
Michael Hersche, Luca Benini, Abbas Rahimi
Successful motor-imagery brain-computer interface (MI-BCI) algorithms either extract a large number of handcrafted features and train a classifier, or combine feature extraction an…
A 0.5GHz 0.35mW LDO-Powered Constant-Slope Phase Interpolator with 0.22 INL
Ahmed Elnaqib, Hayate Okuhara, Taekwang Jang +2
Clock generators are an essential and critical building block of any communication link, whether it be wired or wireless, and they are increasingly critical given the push for lowe…
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars
Moritz Scherer, Michele Magno, Jonas Erb +3
This work proposes a low-power high-accuracy embedded hand-gesture recognition algorithm targeting battery-operated wearable devices using low power short-range RADAR sensors. A 2D…
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang +3
In recent years, deep learning (DL) has contributed significantly to the improvement of motor-imagery brain-machine interfaces (MI-BMIs) based on electroencephalography(EEG). While…
Optimizing Temporal Convolutional Network inference on FPGA-based accelerators
Marco Carreras, Gianfranco Deriu, Luigi Raffo +2
Convolutional Neural Networks are extensively used in a wide range of applications, commonly including computer vision tasks like image and video classification, recognition, and s…
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli +1
Binary Neural Networks enable smart IoT devices, as they significantly reduce the required memory footprint and computational complexity while retaining a high network performance…