000097153 001__ 97153 000097153 005__ 20210902121857.0 000097153 0247_ $$2doi$$a10.3390/s20226552 000097153 0248_ $$2sideral$$a121127 000097153 037__ $$aART-2020-121127 000097153 041__ $$aeng 000097153 100__ $$aVarela-Aldás, J. 000097153 245__ $$aHead-mounted display-based application for cognitive training 000097153 260__ $$c2020 000097153 5060_ $$aAccess copy available to the general public$$fUnrestricted 000097153 5203_ $$aVirtual Reality (VR) has had significant advances in rehabilitation, due to the gamification of cognitive activities that facilitate treatment. On the other hand, Immersive Virtual Reality (IVR) produces outstanding results due to the interactive features with the user. This work introduces a VR application for memory rehabilitation by walking through a maze and using the Oculus Go head-mounted display (HMD) technology. The mechanics of the game require memorizing geometric shapes while the player progresses in two modes, autonomous or manual, with two levels of difficulty depending on the number of elements to remember. The application is developed in the Unity 3D video game engine considering the optimization of computational resources to improve the performance in the processing and maintaining adequate benefits for the user, while the generated data is stored and sent to a remote server. The maze task was assessed with 29 subjects in a controlled environment. The obtained results show a significant correlation between participants’ response accuracy in both the maze task and a face–pair test. Thus, the proposed task is able to perform memory assessments. 000097153 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000097153 590__ $$a3.576$$b2020 000097153 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b14 / 64 = 0.219$$c2020$$dQ1$$eT1 000097153 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 83 = 0.313$$c2020$$dQ2$$eT1 000097153 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b82 / 273 = 0.3$$c2020$$dQ2$$eT1 000097153 592__ $$a0.636$$b2020 000097153 593__ $$aAnalytical Chemistry$$c2020$$dQ2 000097153 593__ $$aAtomic and Molecular Physics, and Optics$$c2020$$dQ2 000097153 593__ $$aBiochemistry$$c2020$$dQ2 000097153 593__ $$aMedicine (miscellaneous)$$c2020$$dQ2 000097153 593__ $$aInformation Systems$$c2020$$dQ2 000097153 593__ $$aInstrumentation$$c2020$$dQ2 000097153 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ2 000097153 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000097153 700__ $$0(orcid)0000-0002-9408-1280$$aPalacios-Navarro, G.$$uUniversidad de Zaragoza 000097153 700__ $$aAmariglio, R. 000097153 700__ $$aGarcía-Magariño, I. 000097153 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica 000097153 773__ $$g20, 22 (2020), 6552 [22 pp]$$pSensors$$tSensors (Switzerland)$$x1424-8220 000097153 8564_ $$s1124244$$uhttps://zaguan.unizar.es/record/97153/files/texto_completo.pdf$$yVersión publicada 000097153 8564_ $$s472601$$uhttps://zaguan.unizar.es/record/97153/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000097153 909CO $$ooai:zaguan.unizar.es:97153$$particulos$$pdriver 000097153 951__ $$a2021-09-02-10:32:59 000097153 980__ $$aARTICLE