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Lorenzo Calisti
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2020 – today
- 2024
- [j4]Lorenzo Calisti
, Emanuele Lattanzi
Real-Time Energy-Efficient Sensor Libraries for Wearable Devices. IEEE Access 12: 126006-126018 (2024) - [j3]Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Alessandro Bogliolo, Emanuele Lattanzi
A power-aware vision-based virtual sensor for real-time edge computing. J. Real Time Image Process. 21(4): 103 (2024) - [c5]Lorenzo Calisti
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices. ICMLT 2024: 279-286 - [c4]Nicholas Kania, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Luca Romanelli, Emanuele Lattanzi
A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing. PerCom Workshops 2024: 625-630 - 2023
- [j2]Emanuele Lattanzi
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition. Pervasive Mob. Comput. 96: 101848 (2023) - [c3]Lorenzo Calisti
SensorLib: an Energy-efficient Sensor-collection Library for Wear OS. ESSE 2023 - [c2]Emanuele Lattanzi
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition. ICMLT 2023: 15-22 - [c1]Giacomo Di Fabrizio
A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices. UCC 2023: 29 - 2022
- [j1]Emanuele Lattanzi
Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens. IEEE Access 10: 83111-83124 (2022) - 2021
- [i1]Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi:
Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens. CoRR abs/2107.13405 (2021)
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