activity
20192026
most citedAn Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing

119 citations · 286 across the 27 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

eess.SP2021

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…

cs.RO2021

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

The sophisticated sense of touch of the human hand significantly contributes to our ability to safely, efficiently, and dexterously manipulate arbitrary objects in our environment.…

eess.SP2021

Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices

Thorir Mar Ingolfsson, Andrea Cossettini, Xiaying Wang +5

We present the implementation of seizure detection algorithms based on a minimal number of EEG channels on a parallel ultra-low-power embedded platform. The analyses are based on t…

cs.LG2021★ 1 cited

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…

eess.SP2021

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…