2026-06-01T03:35:15Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/112932026-02-03T11:59:36Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Casilari-Pérez, Eduardo
author
Oviedo-Jiménez, Miguel Ángel
2016-05-06T10:12:42Z
2016-05-06T10:12:42Z
2016-05-06
http://hdl.handle.net/10630/11293
http://orcid.org/0000-0003-2573-1048
Android personal devices have become an interesting and cost-effective technology to deploy wearable Fall Detection Systems. In contrast with other smartphone-based solutions, this paper describes a fall detection architecture that integrates two-Bluetooth enabled devices: a smartwatch and a smartphone. The evaluation of the system under different fall recognition algorithms and mobility patterns indicates that the simultaneous operation of the two devices as fall detectors clearly improves the specificity of the system when compared to the cases where just one device is employed as a fall detector. The performed analysis also encompasses the study of the battery consumption and the performance of the system under constant monitoring in everyday life conditions.
spa
by-nc
Asistencia sanitaria
Analysis of a hybrid Android system for fall detection
conference output
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URL
https://riuma.uma.es/bitstreams/8776f9db-5011-41d7-8b0e-9be8a19953e3/download
File
MD5
3d9334c489cf1df23ca2ab74ce4893ee
527345
application/pdf
inase-format_falls_enviado_cambiado.pdf