• Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux 

  Gómez-Orellana, Antonio Manuel; Fernández, Juan Carlos; Dorado Moreno, Manuel; Gutiérrez, Pedro A.; Hervás-Martínez, César (MDPI, 2021)

  Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ...

• Design, Validity, and Reliability of a New Test, Based on an Inertial Measurement Unit System, for Measuring Cervical Posture and Motor Control in Children with Cerebral Palsy 

  Carmona-Pérez, Cristina; Pérez-Ruiz, Alberto; Garrido Castro, Juan Luis; Torres Vidal, Francisco; Alcaraz-Clariana, Sandra; García-Luque, Lourdes; Rodrigues-de-Souza, Daiana Priscila; Alburquerque Sendín, Francisco (MDPI, 2020)

  Objective: The aim of this study was to design and propose a new test based on inertial measurement unit (IMU) technology, for measuring cervical posture and motor control in children with cerebral palsy (CP) and to evaluate ...

• Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs 

  López-Zambrano, Javier; Lara, Juan A.; Romero Morales, C. (MDPI, 2020)

  Predicting students’ academic performance is one of the older challenges faced by the educational scientific community. However, most of the research carried out in this area has focused on obtaining the best accuracy ...

• Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Validation Study in Axial Spondyloarthritis 

  Aranda-Valera, I. Concepción; Cuesta-Vargas, Antonio; Garrido Castro, Juan Luis; Gardiner, Philip V.; López Medina, Eloísa Clementina; Machado, Pedro M.; Condell, Joan; Connolly, James; Williams, Jonathan M.; Muñoz-Esquivel, Karla; O’Dwyer, Tom; Castro Villegas, María del Carmen; González-Navas, Cristina; Collantes Estévez, Eduardo; iMaxSpA Study Group (MDPI, 2020)

  Portable inertial measurement units (IMUs) are beginning to be used in human motion analysis. These devices can be useful for the evaluation of spinal mobility in individuals with axial spondyloarthritis (axSpA). The ...

• Mixing body-parts model for 2D human pose estimation in stereo videos 

  López-Quintero, Manuel I.; Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Medina-Carnicer, R. (Institution of Engineering and Technology, 2017)

  This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very ...

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