5 citations · 10 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
Alessio Burrello, Francesco Carlucci, Giovanni Pollo +5
PPG-based Blood Pressure (BP) estimation is a challenging biosignal processing task for low-power devices such as wearables. State-of-the-art Deep Neural Networks (DNNs) trained fo…
Model-Driven Dataset Generation for Data-Driven Battery SOH Models
Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo +5
Estimating the State of Health (SOH) of batteries is crucial for ensuring the reliable operation of battery systems. Since there is no practical way to instantaneously measure it a…