wearable

GAPses: Versatile Smart Glasses for Comfortable and Fully-Dry Acquisition and Parallel Ultra-Low-Power Processing of EEG and EOG
Fully dry EEG/EOG smart glasses with on-board GAP9 processing delivering 99% biometric accuracy and 12-hour autonomy.
Sebastian Frey, Mattia Alberto Lucchini, Victor Kartsch, Thorir Mar Ingolfsson, Andrea Helga Bernardi, Michael Segessenmann, Jakub Osieleniec, Simone Benatti, Luca Benini, Andrea Cossettini
PDF Preprint (arXiv) DOI
An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities
Continual-learning BMI on GAP9 that improves accuracy by up to 30% while sustaining 25-hour wearable operation.
Lan Mei, Thorir Mar Ingolfsson, Cristian Cioflan, Victor Kartsch, Andrea Cossettini, Xiaying Wang, Luca Benini
PDF Preprint (arXiv) DOI
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation
Ultrasound-based pennation estimation with 1.6° RMSE and 11 kB model running in 1.31 ms on GAP9.
Sergei Vostrikov, Thorir Mar Ingolfsson, Soley Hafthorsdottir, Christoph Leitner, Michele Magno, Luca Benini, Andrea Cossettini
Cite IEEE Xplore
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation