Listar por autor "González-Cañete, Francisco Javier"
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A feasibility study of the use of smartwatches in wearable fall detection systems
González-Cañete, Francisco Javier
; Casilari-Pérez, Eduardo (MDPI, 2021)
Over the last few years,the use of smartwatches in automatic Fall Detection Systems (FDSs) has aroused great interest in the research of new wearable telemonitoring systems for the elderly. In contrast with other approaches ... -
La caza de fantasmas con Karnaugh
En el presente artículo se describe una experiencia realizada en una asignatura básica relativa al diseño con circuitos digitales. La experiencia pretende acercar al alumnado de forma entretenida mediante gamificación la ... -
Consumption analysis of smartphone based fall detection systems with multiple external wireless sensors
González-Cañete, Francisco Javier; Casilari-Pérez, Eduardo (MDPI, 2020)
Fall Detection Systems (FDSs) based on wearable technologies have gained much research attention in recent years. Due to the networking and computing capabilities of smartphones, these widespread personal devices have been ... -
Monitoring and detection of toothbrushing with smart watches and artificial intelligence.
This work proposes to combine wearables and the use of artificial intelligence techniques to detect manual mobility patterns caused by brushing teeth. Specifically, the article describes and evaluate a system based on ... -
Review on the Simulation of Cooperative Caching Schemes for MANETs
González-Cañete, Francisco Javier; Casilari-Pérez, Eduardo (2014-11-07)
In this paper, a review of the main simulation parameters utilized to evaluate the performance of cooperative caching schemes in Mobile Ad Hoc Networks is presented. Firstly, a taxonomy of twenty five caching schemes ... -
UMAHand: A dataset of inertial signals of typical hand activities
Casilari-Pérez, Eduardo; Barbosa-Galeano, Jennifer; González-Cañete, Francisco Javier (Elsevier, 2024-07-10)
Given the popularity of wrist-worn devices, particularly smartwatches, the identification of manual movement pat- terns has become of utmost interest within the research field of Human Activity Recognition (HAR) systems. ...