Mostrando ítems 1-5 de 160

    • 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 ...
    • Human interaction categorization by using audio-visual cues 

      Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Yeguas-Bolivar, Enrique; Pérez de la Blanca, N. (Springer Nature, 2013)
      Human Interaction Recognition (HIR) in uncontrolled TV video material is a very challenging problem because of the huge intra-class variability of the classes (due to large differences in the way actions are performed, ...
    • Detecting People Looking at Each Other in Videos 

      Marín-Jiménez, M.J.; Zisserman, A.; Eichner, M.; Ferrari, V. (Springer Nature, 2013)
      The objective of this work is to determine if people are interacting in TV video by detecting whether they are looking at each other or not. We determine both the temporal period of the interaction and also spatially ...