Publicaciones en colaboración con investigadores/as de Instituto Tecnológico de Castilla y León (17)

2022

  1. Improving wearable-based fall detection with unsupervised learning

    Logic Journal of the IGPL, Vol. 30, Núm. 2, pp. 314-325

2021

  1. A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset

    Advances in Intelligent Systems and Computing

  2. An autonomous fallers monitoring kit: Release 0.0

    Advances in Intelligent Systems and Computing

  3. Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges

    Neurocomputing, Vol. 452, pp. 404-413

  4. Mixing user-centered and generalized models for Fall Detection

    Neurocomputing, Vol. 452, pp. 473-486

2020

  1. A Simple Classification Ensemble for ADL and Falls

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Feature Clustering to Improve Fall Detection: A Preliminary Study

    Advances in Intelligent Systems and Computing

  3. Transfer learning and information retrieval applied to fall detection

    Expert Systems

2019

  1. Fall Detection Analysis Using a Real Fall Dataset

    Advances in Intelligent Systems and Computing

  2. Iot and big data in well-aging: The iotea project

    International Journal of Advanced Trends in Computer Science and Engineering, Vol. 8, Núm. 1, pp. �186-190

  3. User-centered fall detection using supervised, on-line learning and transfer learning

    Progress in Artificial Intelligence, Vol. 8, Núm. 4, pp. 453-474

2018

  1. Evaluation of a wrist-based wearable fall detection method

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Using ensembles for improving fall detection

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. An IoT Platform for Epilepsy Monitoring and Supervising

    Journal of Sensors, Vol. 2017

  2. Identification of abnormal movements with 3D accelerometer sensors for seizure recognition

    Journal of Applied Logic, Vol. 24, pp. 54-61

2016

  1. Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition

    International Journal of Neural Systems, Vol. 26, Núm. 6

2015

  1. Analyzing accelerometer data for epilepsy episode recognition

    Advances in Intelligent Systems and Computing