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Your search keyword '"Jiménez Ruiz, Antonio R. [0000-0001-9771-1930]"' showing total 5 results
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5 results on '"Jiménez Ruiz, Antonio R. [0000-0001-9771-1930]"'

1. GSTRIDE: A database of frailty and functional assessments with inertial gait data from elderly fallers and non-fallers populations

Author

García-Villamil Neira, Guillermo [0000-0002-3869-4410], Neira Álvarez, Marta [0000-0002-5488-7749], Huertas Hoyas, Elisabet [0000-0002-5840-541X], Ruiz Ruiz, Luisa [0000-0003-0316-7781], García-de-Villa, Sara [0000-0002-7054-5810], Del-Ama, Antonio J.[0000-0001-6215-2593], Rodríguez Sánchez, María Cristina [0000-0001-9243-2166], Jiménez Ruiz, Antonio R [0000-0001-9771-1930], García-Villamil Neira, Guillermo, Neira Álvarez, Marta, Huertas Hoyas, Elisabet, Ruiz Ruiz, Luisa, García-de-Villa, Sara, Del-Ama, Antonio J., Rodríguez Sánchez, María Cristina, Jiménez Ruiz, Antonio R., García-Villamil Neira, Guillermo [0000-0002-3869-4410], Neira Álvarez, Marta [0000-0002-5488-7749], Huertas Hoyas, Elisabet [0000-0002-5840-541X], Ruiz Ruiz, Luisa [0000-0003-0316-7781], García-de-Villa, Sara [0000-0002-7054-5810], Del-Ama, Antonio J.[0000-0001-6215-2593], Rodríguez Sánchez, María Cristina [0000-0001-9243-2166], Jiménez Ruiz, Antonio R [0000-0001-9771-1930], García-Villamil Neira, Guillermo, Neira Álvarez, Marta, Huertas Hoyas, Elisabet, Ruiz Ruiz, Luisa, García-de-Villa, Sara, Del-Ama, Antonio J., Rodríguez Sánchez, María Cristina, and Jiménez Ruiz, Antonio R.

Published
2022

2. GetSensorData: An extensible Android-based application for multi-sensor data registration

Author

Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Juan D. Gutiérrez, Jiménez Ruiz, Antonio R., Fernando Seco, Fernando J. Álvarez, Teodoro Aguilera, Joaquín Torres-Sospedra, Fran Melchor, Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Juan D. Gutiérrez, Jiménez Ruiz, Antonio R., Fernando Seco, Fernando J. Álvarez, Teodoro Aguilera, and Joaquín Torres-Sospedra, Fran Melchor

Abstract

Smartphones are powerful tools with extensive sensorization that can provide useful information in research or everyday life applications. This information can be obtained from the device's built-in sensors or through other external sensors connected physically via USB or wirelessly via Bluetooth or WiFi. This paper presents the GetSensorData application that provides an open-source, flexible and extensible framework for registering sensor data from Android devices. The application uses standard formatting and synchronization, easing interoperability with other software. End developers (particularly those involved in research) can save the effort and time of creating their sensor acquisition applications and fully concentrate on the higher-level data processing tasks. The application has been used and successfully evaluated for six years by various research groups in different activities related to their work areas. Some examples are the calibration of positioning systems in competitions held at conferences, modeling wireless signal path loss propagation in indoor environments or data collection for unsupervised learning algorithms.

Published
2022

3. Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)

Author

Universidad de Extremadura, European Commission, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Consejo Superior de Investigaciones Científicas (España), Ministerio de Economía y Competitividad (España), Torres-Sospedra, Joaquín [0000-0003-4338-4334], Aranda Polo, Fernando J. [0000-0003-3824-3094], Parralejo, Felipe [0000-0003-1739-829X], Álvarez, Fernando J. [0000-0002-7610-1452], Pérez-Navarro, Antoni [0000-0002-7037-0635], Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Seco Granja, Fernando [0000-0002-2922-2710], Torres-Sospedra, Joaquín, Aranda Polo, Fernando J., Parralejo, Felipe, Bellavista Parent, Vladimir, Álvarez, Fernando J., Pérez-Navarro, Antoni, Jiménez Ruiz, Antonio R., Seco Granja, Fernando, Universidad de Extremadura, European Commission, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Consejo Superior de Investigaciones Científicas (España), Ministerio de Economía y Competitividad (España), Torres-Sospedra, Joaquín [0000-0003-4338-4334], Aranda Polo, Fernando J. [0000-0003-3824-3094], Parralejo, Felipe [0000-0003-1739-829X], Álvarez, Fernando J. [0000-0002-7610-1452], Pérez-Navarro, Antoni [0000-0002-7037-0635], Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Seco Granja, Fernando [0000-0002-2922-2710], Torres-Sospedra, Joaquín, Aranda Polo, Fernando J., Parralejo, Felipe, Bellavista Parent, Vladimir, Álvarez, Fernando J., Pérez-Navarro, Antoni, Jiménez Ruiz, Antonio R., and Seco Granja, Fernando

Published
2021

4. Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study

Author

Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Salazar González, Jose L. [0000-0002-4823-3749], Soria Morillo, Luis Miguel [0000-0002-6794-9179], Álvarez-García, Juan A. [0000-0002-4106-6044], Enríquez de Salamanca Ros, Fernando [0000-0002-5427-6331], Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Salazar González, Jose L., Soria Morillo, Luis Miguel, Álvarez-García, Juan A., Enríquez de Salamanca Ros, Fernando, Jiménez Ruiz, Antonio R., Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Salazar González, Jose L. [0000-0002-4823-3749], Soria Morillo, Luis Miguel [0000-0002-6794-9179], Álvarez-García, Juan A. [0000-0002-4106-6044], Enríquez de Salamanca Ros, Fernando [0000-0002-5427-6331], Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Salazar González, Jose L., Soria Morillo, Luis Miguel, Álvarez-García, Juan A., Enríquez de Salamanca Ros, Fernando, and Jiménez Ruiz, Antonio R.

Abstract

In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user’s normal behaviour. To achieve this goal, in this paper, a combination of battery saving techniques with a system based on WiFi fingerprinting is proposed. This is done by transferring the location calculation workload to the server, leaving user’s mobile devices the only responsibility of making periodic WiFi network scans at dynamic intervals based on user activity, through an application running on background. There are not many studies analyzing energy consumption of existing localization systems, even though it is an important factor in real applications. In this paper, both energy consumption and accuracy are analyzed, having an energy consumption of only 0.8 Wh (having a 3.7 V battery) during a 24-hour cycle and an average localization error of 4.51 meters. Worth to mention that as computation is done on server side the system can be expanded to multiple buildings and floors. Finally, the dataset used in this paper has been published making possible to test new algorithms in the same environment.

Published
2019

5. Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study

Author

Jose L. Salazar González, Juan Antonio Álvarez-García, Fernando Enríquez de Salamanca Ros, Antonio Ramón Jiménez Ruiz, Luis Miguel Soria Morillo, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Salazar González, Jose L. [0000-0002-4823-3749], Soria Morillo, Luis Miguel [0000-0002-6794-9179], Álvarez-García, Juan A. [0000-0002-4106-6044], Enríquez de Salamanca Ros, Fernando [0000-0002-5427-6331], Jiménez Ruiz, Antonio R. [0000-0001-9771-1930], Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla. TIC134: Sistemas Informáticos, Ministerio de Economía y Competitividad (MINECO). España, Ministerio de Ciencia, Innovación y Universidades (MICINN). España, Salazar González, Jose L., Soria Morillo, Luis Miguel, Álvarez-García, Juan A., Enríquez de Salamanca Ros, Fernando, and Jiménez Ruiz, Antonio R.

Subjects
Battery (electricity), General Computer Science, Computer science, Computation, Battery life, Robótica e Informática Industrial, Real-time computing, KNN, 02 engineering and technology, naive Bayes, 0202 electrical engineering, electronic engineering, information engineering, dataset, RSSI, General Materials Science, Indoor localization, Server-side, WiFi ngerprinting, Fingerprint (computing), General Engineering, 020206 networking & telecommunications, Workload, Energy consumption, WiFi fingerprinting, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, Mobile device, Efficient energy use
Abstract

In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user’s normal behaviour. To achieve this goal, in this paper, a combination of battery saving techniques with a system based on WiFi fingerprinting is proposed. This is done by transferring the location calculation workload to the server, leaving user’s mobile devices the only responsibility of making periodic WiFi network scans at dynamic intervals based on user activity, through an application running on background. There are not many studies analyzing energy consumption of existing localization systems, even though it is an important factor in real applications. In this paper, both energy consumption and accuracy are analyzed, having an energy consumption of only 0.8 Wh (having a 3.7 V battery) during a 24-hour cycle and an average localization error of 4.51 meters. Worth to mention that as computation is done on server side the system can be expanded to multiple buildings and floors. Finally, the dataset used in this paper has been published making possible to test new algorithms in the same environment., This work was supported in part by the Spanish Ministry of Economy and Competitiveness through the VICTORY Project under Grant TIN2017-82113-C2-1-R MINECO/FEDER R&D, UE, and in part by the Spanish Ministry of Science, Innovation, and Universities through the MICROCEBUS Project under Grant RTI2018-095168-B-C55 MCIU/AEI/FEDER,UE.

Published
2019

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