2026-05-28T08:51:10Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/112932026-02-03T11:59:36Zcom_10630_2254col_10630_37959

Analysis of a hybrid Android system for fall detection Casilari-Pérez, Eduardo Oviedo-Jiménez, Miguel Ángel Asistencia sanitaria 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. 2016-05-06T10:12:42Z 2016-05-06T10:12:42Z 2016-05-06T10:12:42Z 2016-05-06 conference output http://hdl.handle.net/10630/11293 http://orcid.org/0000-0003-2573-1048 spa 2016 International Conference on Systems, Control, Signal Processing and Informatics Riga, Letonia 28 Mayo 2016 open access by-nc