Now showing items 1-10 of 10

  • A new relational geometric feature for human action recognition 

    Vinagre Ruiz, Manuel; Aranda López, Juan; Casals Gelpi, Alicia (Springer, 2015-01)
    Article
    Restricted access - publisher's policy
    Pose-based features have demonstrated to outperform low-levelappearance features in human action recognition. New RGB-D cameras provide locations of human joints with which geometric correspondences can be easily calculated. ...
  • BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition 

    Hernandez Vela, Antonio; Bautista, Miguel Angel; Perez-Sala, Xavier; Ponce, Víctor; Baró, Xavier; Pujol, Oriol; Angulo Bahón, Cecilio; Escalera, Sergio (2012)
    Conference report
    Restricted access - publisher's policy
    We present a Bag-of-Visual-and-Depth-Words (BoVDW) model for gesture recognition, an extension of the Bag-of-Visual-Words (BoVW) model, that benefits from the multimodal fusion of visual and depth features. State-of-the-art ...
  • Detección de transiciones posturales basado en un acelerómetro y un sensor de presión mediante algoritmos de aprendizaje automático 

    Pilataxi Pilataxi, Jhon Ivan (Universitat Politècnica de Catalunya, 2019-01-31)
    Master thesis
    Restricted access - author's decision
    [CASTELLÀ] Los sensores inerciales basados en Sistemas Micro Electro Mecánicos, gracias a su reducido tamaño y bajo consumo de energía, han permitido el desarrollo de sistemas portables orientados al reconocimiento de ...
  • Disseny d'un algorisme per l'avaluació de l'activitat física i l'intensitat de l'exercici basat en l'Smartphone 

    Carbonés Fargas, Bernat (Universitat Politècnica de Catalunya, 2014-07-23)
    Bachelor thesis
    Open Access
    [ANGLÈS] The designed algorithm allows non-intrusive physical activity recognition using accelerometer data from the smartphone. Fourteen subjects of the same age (mean = 22 years) have used the Android application RSAF ...
  • Energy efficient smartphone-based activity recognition using fixed-point arithmetic 

    Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2013)
    Article
    Open Access
    In this paper we propose a novel energy efficient approach for the recognition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity ...
  • Human action recognition by means of subtensor projections and dense trajectories 

    Carmona Leyva, José María; Climent Vilaró, Joan (2018-09)
    Article
    Restricted access - publisher's policy
    In last years, most human action recognition works have used dense trajectories features, to achieve state-of-the-art results. Histograms of Oriented Gradients (HOG), Histogram of Optical Flow (HOF) and Motion Boundary ...
  • 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)
    Conference report
    Open Access
    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 ...
  • Robust multi-dimensional motion features for first-person vision activity recognition 

    Abebe, Girmaw; Cavallaro, Andrea; Llanas Parra, Francesc Xavier (2016-08)
    Article
    Open Access
    We propose robust multi-dimensional motion features for human activity recognition from first-person videos. The proposed features encode information about motion magnitude, direction and variation, and combine them with ...
  • Training computationally efficient smartphone–based human activity recognition models 

    Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis (2013)
    Conference report
    Restricted access - publisher's policy
    The exploitation of smartphones for Human Activity Recognition (HAR) has been an active research area in which the development of fast and efficient Machine Learning approaches is crucial for preserving battery life and ...
  • Using conventional cell phones to recognize basic physical movements 

    Tormashova, Oxana (Universitat Politècnica de Catalunya, 2012-07-24)
    Master thesis
    Open Access
    [ANGLÈS] Human activity recognition system via wearable sensors can provide valuable information about person's life-style and can help to monitor human activities in order to improve person's interaction with environment. ...