Listar por autor "Castro, Francisco M."
Mostrando ítems 1-11 de 11
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A cross-dataset deep learning-based classifier for people fall detection and identification
Delgado-Escaño, Rubén; Castro, Francisco M.; Ramos-Cózar, Julián
; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Casilari-Pérez, Eduardo[et al.] (Elsevier, 2020)
This paper addresses the issue of fall detection, particularly for elderly individuals who may live alone and be unable to call for help after a fall. The objective is to develop a deep learning-based approach that can ... -
A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU
López Albelda, Bernabé; Castro, Francisco M.; González-Linares, José María; Guil-Mata, Nicolás (José Cano, Phil Trinder, 2022-08)
Current execution of kernels on GPUs allows improving the use of hardware resources and reducing the execution time of co-executed kernels. In addition, efficient kernel-oriented scheduling policies pursuing criteria based ... -
An End-to-End Multi-Task and Fusion CNN for Inertial-Based Gait Recognition.
Delgado-Escaño, Rubén; Castro, Francisco M.; Ramos-Cózar, Julián; Marín Jiménez, Manuel Jesús; Guil-Mata, Nicolás (IEEE, 2019)
People identification using gait information (i.e., the way a person walks) obtained from inertial sensors is a robust approach that can be used in multiple situations where vision-based systems are not applicable. Typically, ... -
Deep multi-task learning for gait-based biometrics.
Marín Jiménez, Manuel Jesús; Castro, Francisco M.; Guil-Mata, Nicolás; de la Torre, Fernando; Medina-Carnicer, Rafael (IEEE, 2017)
The task of identifying people by the way they walk is known as `gait recognition'. Although gait is mainly used for identification, additional tasks as gender recognition or age estimation may be addressed based on gait ... -
Deep Neural Network to Remove Motion Artifacts from Heart Rate Sensor Embedded on Handle Cane.
Villalba-Bravo, Rafael; Ruiz Barroso, Paula; Castro, Francisco M.; Trujillo-León, Andrés; Guil-Mata, Nicolás; Vidal-Verdú, Fernando[et al.] (IEEE, 2024)
Devices worn on the body that track physiological metrics, such as heart rate (HR) and skin conductance, have gained popularity and are typically found in items like smart-watches and bracelets. However, these measurements ... -
Evaluation of CNN architectures for gait recognition based on optical flow maps
Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; López-Tapia, S.; Pérez de la Blanca, N. (2017)
This work targets people identification in video based on the way they walk (\ie gait) by using deep learning architectures. We explore the use of convolutional neural networks (CNN) for learning high-level descriptors ... -
Fisher Motion Descriptor for Multiview Gait Recognition.
Castro, Francisco M.; Marín Jiménez, Manuel Jesús; Guil-Mata, Nicolás; Muñoz-Salinas, Rafael (World Scientific, 2017)
This paper aims to identify individuals by analyzing their gait using motion descriptors based on densely sampled short-term trajectories, instead of traditional binary silhouettes. The approach leverages advanced people ... -
FlexSched: Efficient scheduling techniques for concurrent kernel execution on GPUs
López Albelda, Bernabé; Castro, Francisco M.; González-Linares, José María; Guil-Mata, Nicolás (Springer Nature, 2022)
Nowadays, GPU clusters are available in almost every data processing center. Their GPUs are typically shared by different applications that might have different processing needs and/or different levels of priority. In this ... -
Gait recognition and fall detection with inertial sensors
Delgado-Escaño, Rubén; Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás (2019-11-26)
In contrast to visual information that is recorded by cameras placed somewhere, inertial information can be obtained from mobile phones that are commonly used in daily life. We present in this talk a general deep learning ... -
Gait recognition applying Incremental learning
Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Schmid, Cordelia; Alahari, Karteek (2019-11-25)
when new knowledge needs to be included in a classifier, the model is retrained from scratch using a huge training set that contains all available information of both old and new knowledge. However, in this talk, we present ... -
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Pérez de la Blanca, Nicolás (Springer London, 2020)
This paper focuses on identifying people based on their gait using a non-invasive approach. Traditional methods rely on gait signatures derived from binary energy maps, which introduce noise. Instead, the authors explore ...