355 citations · 980 across the 44 of their papers we have counts for
5 papers · 1 filter
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces
Xiaying Wang, Lukas Cavigelli, Tibor Schneider +1
Motor imagery brain--machine interfaces enable us to control machines by merely thinking of performing a motor action. Practical use cases require a wearable solution where the cla…
Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks
Xavier Timoneda, Lukas Cavigelli
Logic optimization is an NP-hard problem commonly approached through hand-engineered heuristics. We propose to combine graph convolutional networks with reinforcement learning and…
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche +3
Personalized ubiquitous healthcare solutions require energy-efficient wearable platforms that provide an accurate classification of bio-signals while consuming low average power fo…
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain--Machine Interfaces
Xiaying Wang, Tibor Schneider, Michael Hersche +2
With Motor-Imagery (MI) Brain--Machine Interfaces (BMIs) we may control machines by merely thinking of performing a motor action. Practical use cases require a wearable solution wh…
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli +3
Sound event detection (SED) is a hot topic in consumer and smart city applications. Existing approaches based on Deep Neural Networks are very effective, but highly demanding in te…