65611 20231116120807.0 doi 10.1007/s11517-017-1632-z sideral 98183 ART-2017-98183 eng Medrano, C. Universidad de Zaragoza (orcid)0000-0001-7671-7540 Combining novelty detectors to improve accelerometer-based fall detection 2017 Access copy available to the general public Unrestricted Research on body-worn sensors has shown how they can be used for the detection of falls in the elderly, which is a relevant health problem. However, most systems are trained with simulated falls, which differ from those of the target population. In this paper, we tackle the problem of fall detection using a combination of novelty detectors. A novelty detector can be trained only with activities of daily life (ADL), which are true movements recorded in real life. In addition, they allow adapting the system to new users, by recording new movements and retraining the system. The combination of several detectors and features enhances performance. The proposed approach has been compared with a traditional supervised algorithm, a support vector machine, which is trained with both falls and ADL. The combination of novelty detectors shows better performance in a typical cross-validation test and in an experiment that mimics the effect of personalizing the classifiers. The results indicate that it is possible to build a reliable fall detector based only on ADL. info:eu-repo/grantAgreement/ES/MINECO/TEC2013-50049-EXP info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.971 2017 MATHEMATICAL & COMPUTATIONAL BIOLOGY 19 / 59 = 0.322 2017 Q2 T1 ENGINEERING, BIOMEDICAL 41 / 77 = 0.532 2017 Q3 T2 MEDICAL INFORMATICS 14 / 25 = 0.56 2017 Q3 T2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 52 / 105 = 0.495 2017 Q2 T2 0.661 2017 Computer Science Applications 2017 Q2 Biomedical Engineering 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Igual, R. Universidad de Zaragoza (orcid)0000-0002-1561-0536 García-Magariño, I. Universidad de Zaragoza (orcid)0000-0002-2726-6760 Plaza, I. Universidad de Zaragoza (orcid)0000-0001-7550-6688 Azuara, G. Universidad de Zaragoza (orcid)0000-0003-3270-5462 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 5008 560 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Ingeniería Telemática 55, 10 (2017), 1849–1858 Med. biol. eng. comput. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 0140-0118 1065431 http://zaguan.unizar.es/record/65611/files/texto_completo.pdf Postprint 91045 http://zaguan.unizar.es/record/65611/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:65611 articulos driver 2023-11-16-12:00:05 ARTICLE