Publicaciones en colaboración con investigadores/as de Kyung Hee University (13)

2017

  1. mlCAF: Multi-level cross-domain semantic context fusioning for behavior identification

    Sensors (Switzerland), Vol. 17, Núm. 10

2016

  1. Human behavior analysis by means of multimodal context mining

    Sensors (Switzerland), Vol. 16, Núm. 8

  2. Ontology-based high-level context inference for human behavior identification

    Sensors (Switzerland), Vol. 16, Núm. 10

2015

  1. An ontology for dynamic sensor selection in wearable activity recognition

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

  2. Design, implementation and validation of a novel open framework for agile development of mobile health applications

    BioMedical Engineering Online, Vol. 14, Núm. 2

  3. Facilitating trunk endurance assessment by means of mobile health technologies

    UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers

  4. High-level context inference for human behavior identification

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

  5. MDurance: A novel mobile health system to support trunk endurance assessment

    Sensors (Switzerland), Vol. 15, Núm. 6, pp. 13159-13183

  6. Mining Human Behavior for Health Promotion

    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

  7. Mining human behavior for health promotion

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  8. Multiwindow fusion for wearable activity recognition

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

  9. On the development of a real-time multi-sensor activity recognition system

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

  10. Ontological sensor selection for wearable activity recognition

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