Listar Departamentos y Centros - Sailak eta Ikastegiak por autor UPNA "Porta Cuéllar, Sonia"

Mostrando ítems 1-14 de 14

    • Accurate pupil center detection in off-the-shelf eye tracking systems using convolutional neural networks 

      Larumbe Bergera, Andoni Upna Orcid; Garde Lecumberri, Gonzalo Upna; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (MDPI, 2021)   Artículo / Artikulua  OpenAccess
      Remote eye tracking technology has suffered an increasing growth in recent years due to its applicability in many research areas. In this paper, a video-oculography method based on convolutional neural networks (CNNs) for ...

    • Exact inter-discharge interval distribution of motor unit firing patterns with gamma model 

      Navallas Irujo, Javier Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Malanda Trigueros, Armando Upna Orcid (Springer, 2019)   Artículo / Artikulua  OpenAccess
      Inter-discharge interval distribution modeling of the motor unit firing pattern plays an important role in electromyographic decomposition and the statistical analysis of firing patterns. When modeling firing patterns ...

    • Gaze estimation problem tackled through synthetic images 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Bossavit, Benoît Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (Association for Computing Machinery (ACM), 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this paper, we evaluate a synthetic framework to be used in the field of gaze estimation employing deep learning techniques. The lack of sufficient annotated data could be overcome by the utilization of a synthetic ...

    • Gaze tracking system model based on physical parameters 

      Villanueva Larre, Arantxa Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Porta Cuéllar, Sonia Upna Orcid (World Scientific Publishing, 2007)   Artículo / Artikulua  OpenAccess
      In the past years, research in eye tracking development and applications has attracted much attention and the possibility of interacting with a computer employing just gaze information is becoming more and more feasible. ...

    • Hybrid method based on topography for robust detection of iris center and eye corners 

      Villanueva Larre, Arantxa Upna Orcid; Ponz Sarvisé, Victoria; Sesma Sánchez, Laura Upna; Ariz Galilea, Mikel Upna; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid (ACM (Association for Computing Machinery), 2013)   Artículo / Artikulua  OpenAccess
      A multi-stage procedure to detect eye features is presented. Multiresolution and topographic classification are used to detect the iris center. The eye corner is calculated combining valley detection and eyelid curve ...

    • Introducing I2Head database 

      Martinikorena Aranburu, Ion Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid; Porta Cuéllar, Sonia Upna Orcid (ACM (Association for Computing Machinery), 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      I2Head database has been created with the aim to become an optimal reference for low cost gaze estimation. It exhibits the following outstanding characteristics: it takes into account key aspects of low resolution eye ...

    • Low cost gaze estimation: knowledge-based solutions 

      Martinikorena Aranburu, Ion Upna Orcid; Larumbe Bergera, Andoni Upna Orcid; Ariz Galilea, Mikel Upna; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (IEEE, 2020)   Artículo / Artikulua  OpenAccess
      Eye tracking technology in low resolution scenarios is not a completely solved issue to date. The possibility of using eye tracking in a mobile gadget is a challenging objective that would permit to spread this technology ...

    • Low-cost eye tracking calibration: a knowledge-based study 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Bossavit, Benoît Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (MDPI, 2021)   Artículo / Artikulua  OpenAccess
      Subject calibration has been demonstrated to improve the accuracy in high-performance eye trackers. However, the true weight of calibration in off-the-shelf eye tracking solutions is still not addressed. In this work, a ...

    • Motor unit profile: a new way to describe the scanning-EMG potential 

      Corera Orzanco, Íñigo Upna Orcid; Malanda Trigueros, Armando Upna Orcid; Rodríguez Falces, Javier Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Navallas Irujo, Javier Upna Orcid (Elsevier, 2017)   Artículo / Artikulua  OpenAccess
      The motor unit profile, a representation of the trajectories of positive and negative turns of a scanning-EMG signal, is a new way to characterize the motor unit potential. Such characterization allows quantification of ...

    • Relevance of sex, age and gait kinematics when predicting fall-risk and mortality in older adults 

      Porta Cuéllar, Sonia Upna Orcid; Martínez Ramírez, Alicia Upna Orcid; Millor Muruzábal, Nora Upna Orcid; Gómez Fernández, Marisol Upna Orcid; Izquierdo Redín, Mikel Upna Orcid (Elsevier, 2020)   Artículo / Artikulua  OpenAccess
      Approximately one-third of elderly people fall each year with severe consequences, including death. The aim of this study was to identify the most relevant features to be considered to maximize the accuracy of a logistic ...

    • SeTA: semiautomatic tool for annotation of eye tracking images 

      Larumbe Bergera, Andoni Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (ACM, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Availability of large scale tagged datasets is a must in the field of deep learning applied to the eye tracking challenge. In this paper, the potential of Supervised-Descent-Method (SDM) as a semiautomatic labelling tool ...

    • Sliding window averaging in normal and pathological motor unit action potential trains 

      Malanda Trigueros, Armando Upna Orcid; Navallas Irujo, Javier Upna Orcid; Rodríguez Falces, Javier Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Fernández Martínez, Miguel (Elsevier, 2018)   Artículo / Artikulua  OpenAccess
      Objective: To evaluate the performance of a recently proposed motor unit action potential (MUAP) averaging method based on a sliding window, and compare it with relevant published methods in normal and pathological muscles. ...

    • Synthetic gaze data augmentation for improved user calibration 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (Springer, 2021)   Capítulo de libro / Liburuen kapitulua  OpenAccess
      In this paper, we focus on the calibration possibilitiesó of a deep learning based gaze estimation process applying transfer learning, comparing its performance when using a general dataset versus when using a gaze specific ...

    • U2Eyes: a binocular dataset for eye tracking and gaze estimation 

      Porta Cuéllar, Sonia Upna Orcid; Bossavit, Benoît Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Larumbe Bergera, Andoni Upna Orcid; Garde Lecumberri, Gonzalo Upna; Villanueva Larre, Arantxa Upna Orcid (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Theory shows that huge amount of labelled data are needed in order to achieve reliable classification/regression methods when using deep/machine learning techniques. However, in the eye tracking field, manual annotation ...
      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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