dc.creator | Luque Giráldez, José Rafael | es |
dc.creator | Casilari Pérez, Eduardo | es |
dc.creator | Morón Fernández, María José | es |
dc.creator | Redondo, Gema | es |
dc.date.accessioned | 2020-07-03T15:17:40Z | |
dc.date.available | 2020-07-03T15:17:40Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Luque Giráldez, J.R., Casilari Pérez, E., Morón Fernández, M.J. y Redondo, G. (2014). Comparison and Characterization of Android-Based Fall Detection Systems. Sensors, 14 (10), 18543-18574. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | https://hdl.handle.net/11441/98788 | |
dc.description.abstract | Falls are a foremost source of injuries and hospitalization for seniors.
The adoption of automatic fall detection mechanisms can noticeably reduce the response
time of the medical staff or caregivers when a fall takes place. Smartphones are being
increasingly proposed as wearable, cost-effective and not-intrusive systems for fall detection.
The exploitation of smartphones’ potential (and in particular, the Android Operating System)
can benefit from the wide implantation, the growing computational capabilities and the
diversity of communication interfaces and embedded sensors of these personal devices.
After revising the state-of-the-art on this matter, this study develops an experimental
testbed to assess the performance of different fall detection algorithms that ground their
decisions on the analysis of the inertial data registered by the accelerometer of the
smartphone. Results obtained in a real testbed with diverse individuals indicate that the
accuracy of the accelerometry-based techniques to identify the falls depends strongly on
the fall pattern. The performed tests also show the difficulty to set detection acceleration
thresholds that allow achieving a good trade-off between false negatives (falls that remain
unnoticed) and false positives (conventional movements that are erroneously classified as
falls). In any case, the study of the evolution of the battery drain reveals that the extra
power consumption introduced by the Android monitoring applications cannot be neglected
when evaluating the autonomy and even the viability of fall detection systems. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2009-13763-C02-01 | es |
dc.format | application/pdf | es |
dc.format.extent | 32 | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 14 (10), 18543-18574. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Fall detection | es |
dc.subject | Smartphone | es |
dc.subject | eHealth | es |
dc.subject | Android | es |
dc.subject | Accelerometer | es |
dc.title | Comparison and Characterization of Android-Based Fall Detection Systems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | TEC2009-13763-C02-01 | es |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/14/10/18543 | es |
dc.identifier.doi | 10.3390/s141018543 | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 14 | es |
dc.publication.issue | 10 | es |
dc.publication.initialPage | 18543 | es |
dc.publication.endPage | 18574 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |