000061641 001__ 61641
000061641 005__ 20190709135427.0
000061641 0247_ $$2doi$$a10.1109/ACCESS.2017.2702107
000061641 0248_ $$2sideral$$a99585
000061641 037__ $$aART-2017-99585
000061641 041__ $$aeng
000061641 100__ $$0(orcid)0000-0002-4773-4904$$aLacuesta, Raquel$$uUniversidad de Zaragoza
000061641 245__ $$aSystem to Recommend the Best Place to Live Based on Wellness State of the User Employing the Heart Rate Variability
000061641 260__ $$c2017
000061641 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061641 5203_ $$aThe conditions of the environment where a person lives have a great impact on his wellness state. When buying a new house, it is important to select a place that aids in improving the wellness state of the buyer or, at least, keeps it at the same level. A decient wellness state implies an increase of stress and the appearance of some effects associated with it. Heart rate variability (HRV) allows measuring the stress or wellness levels of a person by measuring the difference in time between heartbeats. A low HRV is related to high stress levels whereas a high HRV is associated with a high wellness state. In this paper, we present a system that measures the wellness and stress levels of home buyers by employing sensors that measure the HRV. Our system is able to process the data and recommend the best neighborhood to live in considering the wellness state of the buyer. Several tests were performed utilizing different locations. In order to determine the best neighborhood, we have developed an algorithm that assigns different values to the area in accordance with the HRV measures. Results show that the system is effective in providing the recommendation of the place that would allow the person to live with the highest wellness state.
000061641 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000061641 590__ $$a3.557$$b2017
000061641 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b24 / 148 = 0.162$$c2017$$dQ1$$eT1
000061641 591__ $$aTELECOMMUNICATIONS$$b19 / 87 = 0.218$$c2017$$dQ1$$eT1
000061641 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b48 / 260 = 0.185$$c2017$$dQ1$$eT1
000061641 592__ $$a0.548$$b2017
000061641 593__ $$aComputer Science (miscellaneous)$$c2017$$dQ1
000061641 593__ $$aEngineering (miscellaneous)$$c2017$$dQ1
000061641 593__ $$aMaterials Science (miscellaneous)$$c2017$$dQ2
000061641 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000061641 700__ $$aGarcia, Laura
000061641 700__ $$0(orcid)0000-0002-2726-6760$$aGarcía-Magariño, I.$$uUniversidad de Zaragoza
000061641 700__ $$aLloret, Jaime
000061641 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000061641 773__ $$g5, 1 (2017), 10594-10604$$pIEEE Access$$tIEEE Access$$x2169-3536
000061641 8564_ $$s8712981$$uhttps://zaguan.unizar.es/record/61641/files/texto_completo.pdf$$yVersión publicada
000061641 8564_ $$s111979$$uhttps://zaguan.unizar.es/record/61641/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000061641 909CO $$ooai:zaguan.unizar.es:61641$$particulos$$pdriver
000061641 951__ $$a2019-07-09-11:30:00
000061641 980__ $$aARTICLE