Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens. - Emanuele Lattanzi; Lorenzo Calisti; Valerio Freschi (CoRR, 2021)

Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens. - Emanuele Lattanzi; Lorenzo Calisti; Valerio Freschi (IEEE Access, 2022)

SensorLib: an Energy-efficient Sensor-collection Library for Wear OS. - Lorenzo Calisti; Emanuele Lattanzi (ESSE, 2023)

Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition. - Emanuele Lattanzi; Lorenzo Calisti (ICMLT, 2023)

A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices. - Giacomo Di Fabrizio; Lorenzo Calisti; Chiara Contoli; Nicholas Kania; Emanuele Lattanzi (UCC, 2023)

Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition. - Emanuele Lattanzi; Lorenzo Calisti; Paolo Capellacci (Pervasive Mob. Comput., 2023)

Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition? - Emanuele Lattanzi; Lorenzo Calisti; Chiara Contoli (ICAAI, 2024)

EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices. - Lorenzo Calisti; Chiara Contoli; Giacomo Di Fabrizio; Nicholas Kania; Emanuele Lattanzi (ICMLT, 2024)

A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing. - Nicholas Kania; Alessandro Bogliolo; Lorenzo Calisti; Chiara Contoli; Giacomo Di Fabrizio; Luca Romanelli; Emanuele Lattanzi (PerCom Workshops, 2024)

Real-Time Energy-Efficient Sensor Libraries for Wearable Devices. - Lorenzo Calisti; Emanuele Lattanzi (IEEE Access, 2024)

A power-aware vision-based virtual sensor for real-time edge computing. - Chiara Contoli; Lorenzo Calisti; Giacomo Di Fabrizio; Nicholas Kania; Alessandro Bogliolo; Emanuele Lattanzi (J. Real Time Image Process., 2024)

Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network. - Emanuele Lattanzi; Chiara Contoli; Lorenzo Calisti; Giacomo Di Fabrizio; Nicholas Kania; Susanna Peretti (IEEE Access, 2025)