Publicaciones en las que colabora con VICTOR MANUEL GONZALEZ SUAREZ (21)

2023

  1. A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices

    Logic Journal of the IGPL, Vol. 31, Núm. 2, pp. 375-389

2022

  1. Improving wearable-based fall detection with unsupervised learning

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

  2. Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation

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

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. A Discussion on Fall Detection Issues and Its Deployment: When cloud meets battery

    2018 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2018

  2. Comparing model performances applied to fall detection

    ICMA-International Conference On Mathematical Applications

  3. 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)

  4. Improving fall detection using an on-wrist wearable accelerometer

    Sensors (Switzerland), Vol. 18, Núm. 5

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