Listar DIAN-Artículos, capítulos... por autor "7ac41cb1-c23a-46e4-a2f6-9621cf0448af"

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    • A VR Serious Game to Increase Empathy towards Students with Phonological Dyslexia 

      Alcalde-Llergo, José M.; Yeguas-Bolívar, Enrique; Aparicio Martínez, Pilar; Zingoni, Andrea; Taborri, Juri; Pinzi, Sara (IEEE, 2023)
      Dyslexia is a neurodevelopmental disorder that is estimated to affect about 5-10% of the population. In particular, phonological dyslexia causes problems in connecting the sounds of words with their written forms. This ...

    • Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules 

      Alcalde-Llergo, José M.; García-Martínez, Carlos; Vaquero Abellán, Manuel; Aparicio Martínez, Pilar; Yeguas-Bolívar, Enrique (IEEE, 2022)
      Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these ...

    • Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture 

      Yeguas-Bolívar, Enrique; Muñoz-Salinas, Rafael; Medina-Carnicer, R.; Carmona Poyato, Ángel (Elsevier, 2014)
      Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ...

    • Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis 

      Yeguas-Bolívar, Enrique; Alcalde-Llergo, José M.; Aparicio Martínez, Pilar; Taborri, Juri; Zingoni, Andrea; Pinzi, Sara (IEEE, 2022)
      Learning disorders are neurological conditions that affect the brain’s ability to interconnect communication areas. Dyslexic students experience problems with reading, memorizing, and exposing concepts; however the magnitude ...

    • Human interaction categorization by using audio-visual cues 

      Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Yeguas-Bolívar, 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, ...

    • Jewelry Recognition via Encoder-Decoder Models 

      Alcalde-Llergo, José M.; Yeguas-Bolívar, Enrique; Zingoni, Andrea; Fuerte-Jurado, Alejandro (IEEE, 2023)
      Jewelry recognition is a complex task due to the different styles and designs of accessories. Precise descriptions of the various accessories is something that today can only be achieved by experts in the field of ...

    • Parallelization Strategies for Markerless Human Motion Capture 

      Cano, Alberto; Yeguas-Bolívar, Enrique; Medina-Carnicer, R.; Ventura Soto, S.; Muñoz-Salinas, Rafael (2015-10-15)
      Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is ...

    • The use of artificial intelligence for sign language recognition in education: from a literature overview to the ISENSE project 

      Taborri, Juri; Fornai, Pietro; Yeguas-Bolívar, Enrique; Redel-Macías, María Dolores; Hilzensauer, Marlene; Pecher, Alexandra; Leisenberg, Manfred; Melis, Alessia; Rossi, Stefano (IEEE, 2023)
      Common strategies to guarantee the inclusion of d/Deaf students in university are still absent. Recent studies have demonstrated how innovative technologies, such as artificial intelligence and virtual/augmented reality, ...

    • Training program on sign language: social inclusion through Virtual Reality in ISENSE project 

      Bisio, Alessia; Yeguas-Bolívar, Enrique; Aparicio Martínez, Pilar; Redel-Macías, María Dolores; Pinzi, Sara; Rossi, Stefano; Taborri, Juri (IEEE, 2023)
      Structured hand gestures that incorporate visual motions and signs are used in sign language. Sign language is a valuable means of daily communication for individuals who are deaf or have speech impairments, but it is ...

    • Use of recommendation models to provide support to dyslexic students 

      Morciano, Gianluca; Alcalde-Llergo, José M.; Zingoni, Andrea; Yeguas-Bolívar, Enrique; Taborri, Juri; Calabrò, Giuseppe (Elsevier, 2024)
      Dyslexia is the most widespread specific learning disorder and significantly impair different cognitive domains. This, in turn, negatively affects dyslexic students during their learning path. Therefore, specific support ...