8 papers
Towards Whole Hand and Wrist Kinematic Tracking with a Wearable A-Mode Ultrasound Probe
Giusy Spacone, Luca Benini, Andrea Cossettini
A-mode ultrasound (US) has emerged as a promising modality for hand and wrist motion tracking. Prior works have mainly addressed static gesture classification or regression of a fe…
A Wearable Multimodal Ultrasound+Inertial System for Real-Time Virtual Reality Interaction
Giusy Spacone, Sebastian Frey, Enzo Baraldi +3
A-mode ultrasound (US) is a promising sensing modality for Virtual Reality (VR) interaction, as it enables the mapping of muscular activity into control commands while retaining th…
BioTrain: Sub-MB, Sub-50mW On-Device Fine-Tuning for Edge-AI on Biosignals
Run Wang, Victor J. B. Jung, Philip Wiese +5
Biosignals exhibit substantial cross-subject and cross-session variability, inducing severe domain shifts that degrade post-deployment performance for small, edge-oriented AI model…
SilentWear: an Ultra-Low Power Wearable System for EMG-based Silent Speech Recognition
Giusy Spacone, Sebastian Frey, Giovanni Pollo +5
Detecting speech from biosignals is gaining increasing attention due to the potential to develop human-computer interfaces that are noise-robust, privacy-preserving, and scalable f…
TinyMyo: a Tiny Foundation Model for Flexible EMG Signal Processing at the Edge
Matteo Fasulo, Giusy Spacone, Thorir Mar Ingolfsson +3
Objective: Surface electromyography (EMG) is a non-invasive sensing modality widely used in biomechanics, rehabilitation, prosthetic control, and human-machine interfaces. Despite…
BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing
Sebastian Frey, Giusy Spacone, Andrea Cossettini +4
The growing demand for continuous physiological monitoring and human-machine interaction in real-world settings calls for wearable platforms that are flexible, low-power, and capab…