Marcello Zanghieri

Orcid: 0000-0002-4303-8389

According to our database1, Marcello Zanghieri authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
An Extreme-Edge TCN-Based Low-Latency Collision-Avoidance Safety System for Industrial Machinery.
IEEE Access, 2024

2023
Event-based Low-Power and Low-Latency Regression Method for Hand Kinematics from Surface EMG.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

Online Unsupervised Arm Posture Adaptation for sEMG-based Gesture Recognition on a Parallel Ultra-Low-Power Microcontroller.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition.
Proceedings of the Advances in System-Integrated Intelligence, 2022

sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller.
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes.
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020
Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor.
IEEE Trans. Biomed. Circuits Syst., 2020

Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020


  Loading...