Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition?

E. Lattanzi; L. Calisti; C. Contoli

2025

8th International Conference on Advances in Artificial Intelligence (ICAAI 2024)

Transformer, Human Activity Recognition, Tiny devices

10.1145/3704137.3704171

Tuning Intersection-Over-Union Algorithm To Enhance Tracking Performances

N. Kania; C. Contoli; L. Calisti; E. Lattanzi

2024

21th International Conferences on Applied Computing (AC 2024)

Multi-object tracking algorithm, performance tuning, parameter sensitivity, Monte Carlo experiments

Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network

E. Lattanzi; C. Contoli; L. Calisti; G. Di Fabrizio; N. Kania; S. Peretti

2024

SSRN

Human Activity Recognition, Wearable Sensors, Template Matching, Siamese Network

A Low-cost IoT Sensor for Indoor Monitoring with Prediction-based Data Collection

P. Capellacci; L. Calisti; E. Lattanzi

2024

International Journal of Advanced Computer Science and Applications

IoT, Indoor monitoring, Prediction-based data collection, Deep-learning

10.14569/IJACSA.2024.0151106

EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices

L. Calisti; C. Contoli; G. Di Fabrizio; N. Kania; E. Lattanzi

2024

9th International Conference on Machine Learning Technologies (ICMLT 2024)

Siamese network, energy efficiency, edge devices

10.1145/3674029.3674073

Real-time Energy-efficient Sensor Libraries for Wearable Devices

L. Calisti; E. Lattanzi

2024

IEEE ACCESS

Energy-efficient programming, Wearable devices, Human activity recognition, Wear OS

10.1109/access.2024.3430049

A power-aware vision-based virtual sensor for real-time edge computing

C. Contoli; L. Calisti; G. Di Fabrizio; N. Kania; A. Bogliolo; E. Lattanzi

2024

Journal Of Real-Time Image Processing

Edge computing, Virtual sensor, Energy-aware object tracking

10.1007/s11554-024-01482-0

A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing

N. Kania; A. Bogliolo; L. Calisti; C. Contoli; G. Di Fabrizio; L. Romanelli; E. Lattanzi

2024

International Conference on Pervasive Computing and Communications (PerCom Workshops)

edge computing, virtual sensor, energy efficiency, privacy preservation

10.1109/percomworkshops59983.2024.10503463

A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices

G. Di Fabrizio; L. Calisti; C. Contoli; N. Kania; E. Lattanzi

2024

International Workshop on Intelligent Systems and Paradigms for Next Generation Computing Evolution (INSPIRE 2024)

Energy-efficiency, edge devices, object tracking, machine learning

10.1145/3603166.3632541

Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition

E. Lattanzi; L. Calisti; P. Capellacci

2023

Pervasive and Mobile Computing - Elsevier

Power-aware machine learning, Ubiquitous motion tracking, Human activity recognition, Wearable devices

10.1016/j.pmcj.2023.101848

SensorLib: an Energy-efficient Sensor-collection Library for Wear OS

L. Calisti; E. Lattanzi

2023

4th European Symposium on Software Engineering (ESSE 2023)

energy-efficient programming, wearable devices, human activity recognition, Wear OS

10.1145/3651640.3651641

An IoT Virtual Sensor for Indoor Health Risk Assessment

L. Calisti; P. Capellacci; G. Schiavano; A. Conti; G. Amagliani; C. Papalini; G. Brandi; E. Lattanzi

2023

20th International Conferences on Applied Computing (AC 2023)

IoT sensor, health risk assessment, air bacterial load estimation

978-989-8704-53-5

Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition

E. Lattanzi; L. Calisti

2023

8th International Conference on Machine Learning Technologies (ICMLT 23)

Tiny Machine Learning, Human Activity Recognition, Support Vector Machine, Energy aware, Long Short-Term Memory networks

10.1145/3589883.3589886

Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens

E. Lattanzi; L. Calisti; V. Freschi

2022

IEEE ACCESS

COVID-19 prevention, handwashing recognition, machine learning, wearable sensors

10.1109/ACCESS.2022.3197279

Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens

E. Lattanzi; L. Calisti; V. Freschi

2022

IEEE Access

Machine learning, COVID-19, Wearable computers, Pathogens

10.1109/ACCESS.2022.3197279

Smart Box IoT

L. Calisti; E. Lattanzi

2022

Zenodo

Internet of Things, Machine Learning, Arduino, ESP8266, Anomaly Detection

10.5281/zenodo.6036183