48442 20210121114458.0 doi 10.1016/j.medengphy.2015.06.009 sideral 94225 ART-2015-94225 eng (orcid)0000-0002-1561-0536 Igual, Raúl Universidad de Zaragoza A comparison of public datasets for acceleration-based fall detection 2015 Access copy available to the general public Unrestricted Falls are one of the leading causes of mortality among the older population, being the rapid detection of a fall a key factor to mitigate its main adverse health consequences. In this context, several authors have conducted studies on acceleration-based fall detection using external accelerometers or smartphones. The published detection rates are diverse, sometimes close to a perfect detector. This divergence may be explained by the difficulties in comparing different fall detection studies in a fair play since each study uses its own dataset obtained under different conditions. In this regard, several datasets have been made publicly available recently. This paper presents a comparison, to the best of our knowledge for the first time, of these public fall detection datasets in order to determine whether they have an influence on the declared performances. Using two different detection algorithms, the study shows that the performances of the fall detection techniques are affected, to a greater or lesser extent, by the specific datasets used to validate them. We have also found large differences in the generalization capability of a fall detector depending on the dataset used for training. In fact, the performance decreases dramatically when the algorithms are tested on a dataset different from the one used for training. Other characteristics of the datasets like the number of training samples also have an influence on the performance while algorithms seem less sensitive to the sampling frequency or the acceleration range. info:eu-repo/grantAgreement/ES/MINECO/TEC2013-50049-EXP info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 1.619 2015 ENGINEERING, BIOMEDICAL 45 / 76 = 0.592 2015 Q3 T2 0.794 2015 Biophysics 2015 Q2 Biomedical Engineering 2015 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0001-7671-7540 Medrano Carlos Universidad de Zaragoza (orcid)0000-0001-7550-6688 Plaza, Inmaculada Universidad de Zaragoza 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 37, 9 (2015), 870-878 Med. eng. phys. MEDICAL ENGINEERING & PHYSICS 1350-4533 813645 http://zaguan.unizar.es/record/48442/files/texto_completo.pdf Postprint 102177 http://zaguan.unizar.es/record/48442/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:48442 articulos driver 2021-01-21-10:49:23 ARTICLE