Santoyo-Ramón, J. A., Casilari Pérez, E. & Cano García, J. M. (2022). A study of the influence of the sensor sampling frequency on the performance of wearable fall detectors. Measurement, 193(110945).[Más]
Santoyo-Ramón, J. A., Casilari Pérez, E. & Cano García, J. M. (2021a). A study on the impact of the users’ characteristics on the performance of wearable fall detection systems. Scientific Reports, 11(23011).[Más]
Santoyo-Ramón, J. A., Casilari Pérez, E. & Cano García, J. M. (2021b). A Study of One-Class Classification Algorithms for Wearable Fall Sensors. Biosensors, 11(8), 284.[Más]
Silva, C. A., García-Bermúdez, R. & Casilari Pérez, E (2021). Features Selection for Fall Detection Systems Based on Machine Learning and Accelerometer Signals. En Advances in Computational Intelligence 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, páginas 380-391. Springer Nature Switzerland.[Más]
Año: 2020
Casilari Pérez, E., Antonio Santoyo-Ramón, J. & Cano García, J. M. (2020). On the Heterogeneity of Existing Repositories of Movements Intended for the Evaluation of Fall Detection Systems. Journal of Healthcare Engineering, 2020, 6622285.[Más]
Casilari Pérez, E., Lora-Rivera, R. & García-Lagos, F. (2020). A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets. Sensors, 20(5), 1466.[Más]
Casilari Pérez, E., Álvarez-Marco, M. & García-Lagos, F. (2020). A Study of the Use of Gyroscope Measurements in Wearable Fall Detection Systems. Symmetry, 12(4), 649.[Más]
Delgado-Escaño, R., M. Castro, F., R. Cózar, J., J. Marín-Jiménez, M., Guil, N. & Casilari Pérez, E. (2020). A cross-dataset deep learning-based classifier for people fall detection and identification. Computer Methods and Programs in Biomedicine, 184(105265).[Más]
González Cañete, F. J. & Casilari Pérez, E. (2020). Consumption Analysis of Smartphone based Fall Detection Systems with Multiple External Wireless Sensors. Sensors, 20(3).[Más]
Año: 2019
Casilari Pérez, E. & García-Lagos, F. (2019). A comprehensive study on the use of artificial neural networks in wearable fall detection systems. Expert Systems with Applications, 138(112811).[Más]
Casilari Pérez, E., Lora Rivera, R. & García Lagos, F (2019). Evaluation of a Fall Alerting System based on a Convolutional Deep Neural Network. En Proceedings of IEEE 2019 International Conference on Control, Decision and Information Technologies (CODIT'2019). París (France), April 23-26, 2019.[Más]
Casilari Pérez, E., Lora-Rivera, R. & García-Lagos, F (2019). A Wearable Fall Detection System Using Deep Learning. En Springer (editor), Proceedings of International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2019). Advances and Trends in Artificial Intelligence. From Theory to Practice (LNCS). Graz (Austria), July 9-11, 2019.[Más]
Martín Jiménez, Á. (2019). Desarrollo de un sistema de seguridad de detección de presencia (Trabajo Fin de Grado, Grado en Ingeniería de Sistemas Electrónicos). Tesis de postgrado, Universidad de Málaga, Supervisors: Eduardo Casilari/Jose Manuel Cano García.[Más]
Santoyo-Ramón, J.-A., Casilari Pérez, E. & Cano García, J. M (2019). Study of the Detection of Falls Using the SVM Algorithm, Different Datasets of Movements and ANOVA. En Proceedings of IEEE IWBBIO: International Work-Conference on Bioinformatics and Biomedical Engineering. Granada (Spain), May 8-10, 2019 : Springer.[Más]
Álvarez Marco, M. (2019). Estudio de sistemas de detección de caídas basados en redes neuronales profundas (Trabajo Fin de Grado, Grado en Ingeniería de Tecnologías de Telecomunicación). Tesis de postgrado, Universidad de Málaga, Supervisors: Eduardo Casilari/Francisco García Lagos.[Más]
Año: 2018
Casilari Pérez, E., Santoyo-Ramón, J.-A. & Cano García, J. M (2018). Analysis of a Public Repository for the Study of Automatic Fall Detection Algorithms. En Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR 2018). Berlin (Germany), September 20-21, 2018.[Más]
Lora Rivera, R. (2018). Aplicación de técnicas de inteligencia computacional para la detección de caídas usando sensores de movilidad (Trabajo Fin de Máster, Máster en Sistemas Electrónicos para Entornos Inteligentes). Tesis de postgrado, Universidad de Málaga, Supervisors: Francisco García Lagos/ Eduardo Casilari.[Más]
Santoyo Ramón, J. A., Casilari Pérez, E. & Cano García, J. M (2018). Estudio de la detección de caídas utilizando el algoritmo SVM. En Actas del XXXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2018). Granada (Spain), September 5-7, 2018.[Más]
Villén-Altamirano, M., Casilari Pérez, E. & Reyes-Lecuona, A (2018). RESTART simulation: New approach to the importance in a two-queue tandem Jackson network. En 12th International Workshop on Rare Event Simulation (RESIM 2018). Stockholm (Sweden), August 29-31, 2018.[Más]
