Search Results - "Casilari, Eduardo"

The Impact of the Accelerometer Sampling Rate on the Performance of Machine and Deep Learning Models in Wearable Fall-Detection Systems.

Authors: Villa, Manny Casilari, Eduardo

Source: Sensors (14248220). Jan2026, Vol. 26 Issue 1, p162. 19p.

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

Authors: Villa, Manny Casilari, Eduardo

Source: Biomimetics (2313-7673). May2025, Vol. 10 Issue 5, p313. 27p.

A WEB ARCHITECTURE OF A FRAMEWORK TO EVALUATE SMARTPHONE-BASED FALL DETECTION SYSTEMS.

Authors: Casilari, Eduardo Ortuño, Pablo

Source: International Conference on eHealth. 2016, p167-171. 5p.

A characterization of the performance of Bluetooth 2.x + EDR technology in noisy environments.

Authors: Luque, Jose-Rafael Morón, Maria-Jose Casilari, Eduardo

Source: Wireless Networks (10220038); Aug2015, Vol. 21 Issue 6, p1969-1984, 16p

Analysis of Android Device-Based Solutions for Fall Detection.

Authors: Casilari, Eduardo Luque, Rafael Morón, María-José

Source: Sensors (14248220). Aug2015, Vol. 15 Issue 8, p17827-17894. 68p.

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

Authors: Santoyo-Ramón, José Antonio Casilari, Eduardo Cano-García, José Manuel

Source: Biosensors (2079-6374); Aug2021, Vol. 11 Issue 8, p284, 1p

Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection with Supervised Learning.

Authors: Santoyo-Ramón, José Antonio Casilari, Eduardo Cano-García, José Manuel

Source: Sensors (14248220). Apr2018, Vol. 18 Issue 4, p1155. 29p. 3 Color Photographs, 2 Diagrams, 8 Charts, 6 Graphs.

Analysis of Public Datasets for Wearable Fall Detection Systems.

Authors: Casilari, Eduardo Santoyo-Ramón, José-Antonio Cano-García, José-Manuel

Source: Sensors (14248220). Jul2017, Vol. 17 Issue 7, p1513. 28p. 8 Charts, 6 Graphs.

Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection.

Authors: Casilari, Eduardo Santoyo-Ramón, Jose Antonio Cano-García, Jose Manuel

Source: PLoS ONE. 12/8/2016, Vol. 11 Issue 12, p1-17. 17p.

On the Capability of Smartphones to Perform as Communication Gateways in Medical Wireless Personal Area Networks.

Authors: Morón, María José Luque, Rafael Casilari, Eduardo

Source: Sensors (14248220). Jan2014, Vol. 14 Issue 1, p575-594. 20p.

Automatic Fall Detection System Based on the Combined Use of a Smartphone and a Smartwatch.

Authors: Casilari, Eduardo Oviedo-Jiménez, Miguel A.

Source: PLoS ONE. 11/11/2015, Vol. 10 Issue 10, p1-11. 11p.

Comparison and Characterization of Android-Based Fall Detection Systems.

Authors: Luque, Rafael Casilari, Eduardo Morón, María-José et al.

Source: Sensors (14248220). Oct2014, Vol. 14 Issue 10, p18543-18574. 32p.

Modeling of Current Consumption in 802.15.4/ZigBee Sensor Motes.

Authors: Casilari, Eduardo Cano-García, Jose M. Campos-Garrido, Gonzalo

Source: Sensors (14248220). 2010, Vol. 10 Issue 6, p5443-5468. 26p. 2 Diagrams, 4 Charts, 8 Graphs.

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

Authors: González-Cañete, Francisco Javier Casilari, Eduardo

Source: Sensors (14248220). Feb2020, Vol. 20 Issue 3, p622-622. 1p.

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

Authors: González-Cañete, Francisco Javier Casilari, Eduardo Massaroni, Carlo et al.

Source: Sensors (14248220). Mar2021, Vol. 21 Issue 6, p2254-2254. 1p.

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

Authors: Casilari, Eduardo Álvarez-Marco, Moisés García-Lagos, Francisco

Source: Symmetry (20738994). Apr2020, Vol. 12 Issue 4, p649. 1p.

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

Authors: Casilari, Eduardo Lora-Rivera, Raúl García-Lagos, Francisco

Source: Sensors (14248220). Mar2020, Vol. 20 Issue 5, p1466. 1p.

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

Authors: Delgado-Escaño, Rubén Castro, Francisco M. Cózar, Julián R. et al.

Source: Computer Methods & Programs in Biomedicine; Feb2020, Vol. 184, pN.PAG-N.PAG, 1p