RT Conference Proceedings
T1 Analysis of a hybrid Android system for fall detection
A1 Casilari-Pérez, Eduardo
A1 Oviedo-Jiménez, Miguel Ángel
K1 Asistencia sanitaria
AB 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.
YR 2016
FD 2016-05-06
LK http://hdl.handle.net/10630/11293
UL http://hdl.handle.net/10630/11293
LA spa
NO Universidad de Malaga, Campus de Excelencia Internacional Andalucia Tech.           This work was supported by European FEDER funds and the Spanish Ministry of Economy and Competitiveness [grant TEC2013-42711-R] (URL: http://www.mineco.gob.es/portal/site/mineco/)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026