• A public domain dataset for human activity recognition using smartphones 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Parra Perez, Xavier; Reyes Ortiz, Jorge Luis (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Human-centered computing is an emerging research field that aims to understand human behavior and integrate users and their social context with computer systems. One of the most recent, challenging and appealing applications ...
    • A trajectory-driven 3D channel model for human activity recognition 

      Abdelgawwad, Ahmed Abdelmonem; Català Mallofré, Andreu; Pätzold, Matthias (Institute of Electrical and Electronics Engineers (IEEE), 2021-07-28)
      Article
      Accés obert
      This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler ...
    • Accurate molecular atom selection in VR 

      Molina López, Elena; Vázquez Alcocer, Pere Pau (European Association for Computer Graphics (Eurographics), 2022)
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      Target acquisition is a basic task that is part of almost any high-level interaction in 3D environments. Therefore, providing accurate selection is a necessity for most applications and games. When targets are small and ...
    • Effective user studies in computer graphics 

      Malpica Mallo, Sandra; Sun, Qi; Kellnhofer, Petr; Beacco Porres, Alejandro; Senel, Gizem; McDonnell, Rachel; Flores Vargas, Mauricio (European Association for Computer Graphics (Eurographics), 2023)
      Comunicació de congrés
      Accés obert
      User studies are a useful tool for researchers, allowing them to collect data on how users perceive, interact with and process different types of sensory information. If planned in advance, user experiments can be leveraged ...
    • Human activity recognition on smartphones for mobile context awareness 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2012)
      Comunicació de congrés
      Accés obert
      Activity-Based Computing [1] aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources. When these sensors are attached ...
    • Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine 

      Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (Springer, 2012)
      Text en actes de congrés
      Accés obert
      Activity-Based Computing aims to capture the state of the user and its environment by exploiting heterogeneous sensors in order to provide adaptation to exogenous computing resources. When these sensors are attached to the ...
    • Measuring online advertising viewability and analyzing its variability across different dimensions 

      Expósito Ventura, Marta; Ruipérez Valiente, José A.; Forné Muñoz, Jorge (Association for Computing Machinery (ACM), 2020)
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      Many of the current online business base completely their revenue models in earnings from online advertisement. A problematic fact is that according to Google more than half of display ads are not being seen. The International ...
    • Virtual Reality Synthesis of Robotic Systems for Human Upper-limb and Hand Tasks 

      Heidari, Omid; Pérez Gracia, Alba (2019)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      The design of robotic systems for human-hand tasks could benefit for a more intuitive environment for task definition and prototype testing. Virtual reality with human-limb motion identification and visualization seems to ...
    • WiWeHAR: multimodal human activity recognition using Wi-Fi and wearable sensing modalities 

      Muaaz, Muhammad; Chelli, Ali; Abdelgawwad, Ahmed Abdelmonem; Català Mallofré, Andreu; Pätzold, Matthias (Institute of Electrical and Electronics Engineers (IEEE), 2020-09-21)
      Article
      Accés obert
      Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities. Traditional HAR systems mostly leverage a single sensing ...