EDUARDO CASILARI

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Associate Professor

University of Malaga

Spain

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About

Eduardo Casilari is an Associate Professor at Universidad de Malaga in Spain. His research focuses on wearable fall detection systems, involving the analysis of inertial signals from various activities. Recent articles include studies on energy-efficient fall detection methods, dataset comparisons for fall alerts, and the influence of user characteristics on sensor performance.

Recent Grants

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Arquitectura de monitorización asistencial ubicua de la movilidad basada en redes de área personal de dispositivos vestibles (UMAFall)

Open Date: 2019-11-01

Close Date: 2022-11-01

Grant: Close

Proyecto NEREIDAS (eficiencia eNErgética en REdes Inalámbricas cognitivas y de bajo consumo para un DesArrollo Sostenible)

Open Date: 2015-01-01

Close Date: 2018-01-01

Grant: Close

Redes de Arquitectura Mallada para Aplicaciones Sociosanitarias

Open Date: 2010-01-01

Close Date: 2012-12-01

Grant: Close

Aplicaciones Biomédicas en Redes Inalámbricas Heterogéneas

Open Date: 2006-10-01

Close Date: 2009-09-01

Grant: Close

Aplicaciones Integradas en Redes Multiesfera (AIRES)

Open Date: 2003-11-01

Close Date: 2006-11-01

Articles (16)

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2025

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2022

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2020

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2020

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2020

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2020

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2020

Collaborators (6)

José Manuel Cano García

Profesor Titular de Universidad – PTU

University of Malaga

SPAIN

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FRANCISCO JAVIER GONZALEZ CANETE

Profesor Contratado Doctor

University of Malaga

SPAIN

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Manuel J. Marin-Jimenez

Associate Professor

SPAIN

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Manny Len Villa Suárez

University of Malaga

SPAIN

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Francisco García Lagos

Profesor Titular de Universidad – TU/ Catedrático de Escuela Universitaria - CEU

University of Malaga

SPAIN

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Rodolfo Valentín García Bermúdez

Profesor

Universidad Antonio de Nebrija

SPAIN

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EDUARDO CASILARI

Research Interests

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About

Recent Grants

Articles (16)

Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms

UMATBrush: A dataset of inertial signals of toothbrushing activities

UMAHand: A dataset of inertial signals of typical hand activities

Cross-dataset evaluation of wearable fall detection systems using data from real falls and long-term monitoring of daily life

UMATUG: A dataset of inertial signals of older and young adults using a gerontologic simulator collected during instrumented Timed Up and Go (iTUG) tests

Wearable Fall Detectors Based on Low Power Transmission Systems: A Systematic Review

An analytical comparison of datasets of Real-World and simulated falls intended for the evaluation of wearable fall alerting systems

A study of the influence of the sensor sampling frequency on the performance of wearable fall detectors

A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems

A study on the impact of the users’ characteristics on the performance of wearable fall detection systems

A Study of One-Class Classification Algorithms for Wearable Fall Sensors

Consumption Analysis of Smartphone based Fall Detection Systems with Multiple External Wireless Sensors

A cross-dataset deep learning-based classifier for people fall detection and identification

On the Heterogeneity of Existing Repositories of Movements Intended for the Evaluation of Fall Detection Systems

A Study of the Use of Gyroscope Measurements in Wearable Fall Detection Systems

A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets

Collaborators (6)

José Manuel Cano García

FRANCISCO JAVIER GONZALEZ CANETE

Manuel J. Marin-Jimenez

Manny Len Villa Suárez

Francisco García Lagos

Rodolfo Valentín García Bermúdez

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