Listar por autor "Casilari-Pérez, Eduardo"
Mostrando ítems 1-20 de 29
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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 cross-dataset evaluation of wearable fall detection systems
The popularity of wearables and their seamless integration into our daily lives have transformed these devices into an appealing resource to deploy automatic fall detection systems. During last years, a massive literature ... -
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 ... -
A study of one-class classification algorithms for wearable fall sensors
In recent years, the popularity of wearable devices has fostered the investigation of automatic fall detection systems based on the analysis of the signals captured by transportable inertial sensors. Due to the complexity ... -
A study of the influence of the sensor sampling frequency on the performance of wearable fall detectors
Santoyo-Ramón, José Antonio; Casilari-Pérez, Eduardo; Cano-García, José Manuel (Elsevier, 2022-03)
Last decade has witnessed a major research interest on wearable fall detection systems. Sampling rate in these detectors strongly affects the power consumption and required complexity of the employed wearables. This study ... -
A study of the use of gyroscope measurements in wearable fall detection systems
Casilari-Pérez, Eduardo; Álvarez-Marco, Moisés; García-Lagos, Francisco (MDPI, 2020)
Due to the serious impact of falls on the quality of life of the elderly and on the economical sustainability of health systems, the study of new monitoring systems capable of automatically alerting about falls has gained ... -
A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets
Casilari-Pérez, Eduardo; Lora Rivera, Raúl; García-Lagos, Francisco (MDPI, 2020)
Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention ... -
A study on the impact of the users’ characteristics on the performance of wearable fall detection systems
Santoyo-Ramón, José Antonio; Casilari-Pérez, Eduardo; Cano-García, José Manuel (Nature Research, 2021)
Wearable Fall Detection Systems (FDSs) have gained much research interest during last decade. In this regard, Machine Learning (ML) classifiers have shown great efficiency in discriminating falls and conventional movements ... -
Actividad extracurricular en el ámbito de la Ingeniería para la competencia genérica de comunicación escrita
González-Parada, Eva; Cano-García, José Manuel; Casilari-Pérez, Eduardo; Peña-Martín, Juan Pedro; Pérez-Rodríguez, Eduardo Javier; Trujillo-Aguilera, Davinia[et al.] (2016-10-13)
El objetivo de este trabajo es describir una actividad formativa extracurricular para la competencia de comunicación escrita, que puede ser fácilmente reproducida en otros centros y universidades. Para ello, en este trabajo ... -
An Adaptive Algorithm to Optimize the Dynamics of IEEE 802.15.4 Networks
Hurtado López, Javier; Casilari-Pérez, Eduardo (ICST, 2013-09-22)
IEEE 802.15.4 standard is becoming one of the most popular technologies for the deployment of low rate Wireless Personal Area Networks with strong power constraints. In order to reduce the energy consumption, beacon-enabled ... -
An analytical comparison of datasets of Real-World and simulated falls intended for the evaluation of wearable fall alerting systems
Casilari-Pérez, Eduardo (Elsevier, 2022-10)
Automatic fall detection is one of the most promising applications of wearables in the field of mobile health. The characterization of the effectiveness of wearable fall detectors is hampered by the inherent difficulty of ... -
Analysis of a hybrid Android system for fall detection
Casilari-Pérez, Eduardo; Oviedo-Jiménez, Miguel Ángel (2016-05-06)
Android personal devices have become an interesting and cost-effective technology to deploy wearable Fall Detection Systems. In contrast with other smartphone-based solutions, this paper describes a fall detection architecture ... -
Analysis of a public repository for the study of automatic fall detection algorithms
The use of publicly available repositories containing movement traces of real or experimental subjects is a key aspect to define an evaluation framework that allows a systematic assessment of wearable fall detection systems. ... -
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 ... -
Contribuciones al estudio y análisis de sistemas vestibles de detección de caídas
(UMA Editorial, 2022)Las caídas son la segunda causa mundial de muerte por lesiones accidentales o no intencionales según la Organización Mundial de la Salud. En este contexto, cabe destacar que las personas mayores de 65 años tienen un mayor ... -
Cross-dataset evaluation of wearable fall detection systems using data from real falls and long-term monitoring of daily life
Silva, Carlos A.; Casilari-Pérez, Eduardo; García-Bermúdez, Rodolfo (Elsevier, 2024)
The evaluation of fall detection systems based on wearables is controversial as most studies in the literature benchmark their proposals against falls that are simulated by experimental subjects under unrealistic laboratory ... -
Diseño de un itinerario para el desarrollo de competencias transversales en un grado de ingeniería electrónica: primeros pasos
García-Berdonés, Carmen; Casilari-Pérez, Eduardo; García-Lagos, Francisco; González-Parada, Eva; Molina-Tanco, Luis; Vizcaíno-Martín, Francisco Javier[et al.] (2016-10-07)
Este trabajo recoge la motivación, metodología y primeros resultados de un proyecto de innovación educativa a dos años (2015-2017) que se está llevando a cabo en la Escuela Técnica Superior de Ingeniería de Telecomunicación ... -
Encaminamiento en redes con calidad de servicio
Ariza-Quintana, Alfonso (Universidad de Málaga, Servicio de Publicaciones, 2001)
Esta tesis se centra en el estudio de los algoritmos de asignación de coste para encaminamiento en redes con calidad de servicio. El objetivo basico de estos algoritmos es maximizar la utilización de los recursos de red. ... -
Estudio del rendimiento de perfiles bluetooth en Redes de Área Personal
(Universidad de Málaga, Servicio de Publicaciones, 2008)Los factores claves que deben tenerse en cuenta en el diseño de aplicaciones para redes de área personal inalámbricas son, fundamentalmente, la interoperatividad y el soporte de calidad de servicio, requisito imprescindible ... -
Evaluation of a Fall Alerting System based on a Convolutional Deep Neural Network
Casilari-Pérez, Eduardo; Lora Rivera, Raúl; García-Lagos, Francisco (2019-03-04)
Owing to the effects of falls on quality of life of the elderly, automatic fall detection systems (FDS) have become a key research topic in the ambit of telecare. This works assesses the performance of convolutional neural ...