Giuseppe Prisco

According to our database, Giuseppe Prisco authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Validity of an Automatic Approach for Acceleration Signal Segmentation during Weight Lifting.

Giuseppe Prisco, Maria Agnese Pirozzi, Fabrizio Esposito, Antonella Santone, Mario Cesarelli, Paolo Gargiulo, Francesco Amato, Leandro Donisi

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

A Novel Algorithm based on Ankle-Mounted IMU Configuration for Computing Spatiotemporal Parameters.

Giuseppe Prisco, Alfonso Maria Ponsiglione, Fabrizio Esposito, Sergio Lerma Lara, Paolo Gargiulo, Antonella Santone, Mario Cesarelli, Francesco Amato, Leandro Donisi

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

Exploring brain correlates of muscular activity and postural sway.

Marianna Chianese, Simone Papallo, Giuseppe Prisco, Rosa De Micco, Alessandro Tessitore, Paolo Gargiulo, Fabrizio Esposito, Leandro Donisi

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

2024

A Machine Learning-Based Approach to Detect Cyberbullying Tweets.

Giuseppe Prisco, Francesco Mercaldo, Antonella Santone, Mario Cesarelli

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Biomechanical Risk Evaluation Through Machine Learning Algorithms Fed with Features Extracted From sEMG of Neck Extensors.

Giuseppe Prisco, Leandro Donisi, Lorena Guerrini, Francesco Mercaldo, Fabrizio Esposito, Antonella Santone, Mario Cesarelli, Francesco Amato, Paolo Gargiulo

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

2023

Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting.

Giuseppe Prisco, Maria Romano, Fabrizio Esposito, Mario Cesarelli, Antonella Santone, Leandro Donisi

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

A Machine Learning approach to classify ventilatory efficiency.

Giuseppe Prisco, Klara Komici, Francesco Mercaldo, Leandro Donisi, Mario Cesarelli, Germano Guerra, Antonella Santone

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023