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An autonomous fallers monitoring kit: release 0.0

dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorDaSilva, Álvaro
dc.contributor.authorFáñez, Mirko
dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorSedano, Javier
dc.contributor.authorGonzález Suárez, Víctor Manuel 
dc.date.accessioned2020-09-26T15:36:30Z
dc.date.available2020-09-26T15:36:30Z
dc.date.issued2020
dc.identifier.isbn978-3-030-49342-4
dc.identifier.urihttp://hdl.handle.net/10651/56925
dc.descriptionInternational Conference on Intelligent Systems Design and Applications (ISDA) (19th. 2019. Online)
dc.description.abstractFall is one of the main causes of the reduction of the Quality of Live in Elderly, since it has a high impact in mortality rate as well as in the probability of different disabilities like Fractures, head injuries, etc, and mainly a loss of confidence. Thus, a monitoring instrument to follow elderly activity is required and the most common non-invasive and easy-to-use are based on wearable devices. This work presents our first prototype of an autonomous, low-cost and easy-to-use elderly activity monitoring kit suitable to be deployed in nursery houses. The prototype is composed of: i) our own data analytics web application deployed in a low cost server located in our laboratory (SERVER) and ii) a trans- parent plastic case with a set of 10 commercial smartbands (WD), their respective charging docks, one NUC (Next Unit of Computing) as data gateway, one Wi-Fi router and one LTE router. Concerning the case, we can state that each WD has built-in a 3DACC (3DA), a Gyroscope (GY) and a wrist Heart Rate sensor (HR). Besides each WD is running our own software instead the pre-built commercial one in order to achieve two issues: recording high frequency data (1Hz for HR and 10Hz for 3DA and GY) and optimize the battery life (18 hours with 10Hz continuous sen- sors recording). Finally, a first trial of the presented kit is being carried out in a Nursery House in Burgos (Spain), and the participants enrolled criteria have been designed by a gerontologist from the Diputacio ́n de Burgos (Spain).spa
dc.description.sponsorshipThis research has been funded partially by Spanish Ministry of Economy, Industry and Competitiveness (MINECO) under grant TIN2017-84804-R and by Foundation for the Promotion of Applied Scientific Research and Technology in Asturias, under grant FC-GRUPIN-IDI2018000226spa
dc.format.extentp. 287-297spa
dc.language.isoengspa
dc.relation.ispartofIntelligent Systems Design and Applications. ISDA 2019.
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing, 1181
dc.rights© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
dc.subjectFalls in Elderlyspa
dc.subjectWearable sensorsspa
dc.subjectFall detectionspa
dc.titleAn autonomous fallers monitoring kit: release 0.0spa
dc.typebook partspa
dc.identifier.doi10.1007/978-3-030-49342-4_28
dc.relation.projectIDFC-GRUPIN-IDI2018000226
dc.relation.projectIDMINECO TIN2017-84804-R
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-49342-4_28
dc.rights.accessRightsopen accessspa
dc.type.hasVersionAM


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