Matteo Menolotto

Orcid: 0000-0001-7688-3821

According to our database1, Matteo Menolotto authored at least 13 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Implementation-Aware Latency and Energy Modeling for Tiling on the Edge.
IEEE Access, 2026

Hierarchical Modeling of Perceived Fatigue in Upper Limb Cross Tasks Using Wearable IMU and EMG Sensors.
IEEE Access, 2026

2025
The Role of Length Shift in Assessing Force and Resistivity for Optimized e-Textile Sensors.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024
PID4TC (Pressure Insole Data for Task Classification).
Dataset, July, 2024

AI-Based Task Classification With Pressure Insoles for Occupational Safety.
IEEE Access, 2024

Assessing Trust in Collaborative Robotics with Different Human-Robot Interfaces.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
HANDMI4 (HAND Motion capture data for Industry 4.0).
Dataset, February, 2023

Validation of Endurance Model for Manual Tasks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Estimation of Maximum Shoulder and Elbow Joint Torques Based on Demographics and Anthropometrics.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

The Use of Datasets of Bad Quality Images to Define Fundus Image Quality.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
An Imaging-based Autorefractor.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020
Motion Capture Technology in Industrial Applications: A Systematic Review.
Sensors, 2020

2015
Towards the development of a wearable Electrical Impedance Tomography system: A study about the suitability of a low power bioimpedance front-end.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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