Alberto Peña Fernández

According to our database, Alberto Peña Fernández authored at least 7 papers between 2017 and 2024.

Collaborative distances:

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

2024

Technical Report: Development and validation of continuous monitoring system for calves based on commercially available sensor for humans.

Florian Debruyne, Jade Bokma, Tom Staessens, Alberto Peña Fernández, Daniel Berckmans, Bart Pardon, Glenn Van Steenkiste

Comput. Electron. Agric., 2024

2023

Quality of Experience and Mental Energy Use of Cobot Workers in Manufacturing Enterprises.

Fabio Alexander Storm, Luca Negri, Claudia Carissoli, Alberto Peña Fernández, Carla Dei, Marta Bassi, Daniel Berckmans, Antonella Delle Fave

Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 2023

2021

Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies.

Dong Liu, Erik Vranken, Gijs van den Berg, Lenn Carpentier, Alberto Peña Fernández, Dongjian He, Tomas Norton

Comput. Electron. Agric., 2021

A human-driven control architecture for promoting good mental health in collaborative robot scenarios.

Matteo Lavit Nicora, Elisabeth André, Daniel Berkmans, Claudia Carissoli, Tiziana D'Orazio, Antonella Delle Fave, Patrick Gebhard, Roberto Marani, Robert Mihai Mira, Luca Negri, Fabrizio Nunnari, Alberto Peña Fernández, Alessandro Scano, Gianluigi Reni, Matteo Malosio

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

2020

An Approach towards Motion-Tolerant PPG-Based Algorithm for Real-Time Heart Rate Monitoring of Moving Pigs.

Ali Youssef, Alberto Peña Fernández, Laura Wassermann, Svenja Biernot, Eva-Maria Wittauer, André Bleich, Joerg Hartung, Daniel Berckmans, Tomas Norton

Sensors, 2020

2019

Real-time modelling of individual weight response to feed supply for fattening pigs.

Alberto Peña Fernández, Tomas Norton, Ali Youssef, Vasileios Exadaktylos, Claudia Bahr, E. Bruininx, Erik Vranken, Daniel Berckmans

Comput. Electron. Agric., 2019

2017

Appropriate data visualisation is key to Precision Livestock Farming acceptance.

T. Van Hertem, L. Rooijakkers, Dries Berckmans, Alberto Peña Fernández, Tomas Norton, Daniel Berckmans, Erik Vranken

Comput. Electron. Agric., 2017