000118924 001__ 118924
000118924 005__ 20240319081008.0
000118924 0247_ $$2doi$$a10.3390/s22155775
000118924 0248_ $$2sideral$$a130039
000118924 037__ $$aART-2022-130039
000118924 041__ $$aeng
000118924 100__ $$0(orcid)0000-0003-3618-4940$$aAsiain, D.
000118924 245__ $$aMsWH: A multi-sensory hardware platform for capturing and analyzing physiological emotional signals
000118924 260__ $$c2022
000118924 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118924 5203_ $$aThis paper presents a new physiological signal acquisition multi-sensory platform for emotion detection: Multi-sensor Wearable Headband (MsWH). The system is capable of recording and analyzing five different physiological signals: skin temperature, blood oxygen saturation, heart rate (and its variation), movement/position of the user (more specifically of his/her head) and electrodermal activity/bioimpedance. The measurement system is complemented by a porthole camera positioned in such a way that the viewing area remains constant. Thus, the user''s face will remain centered regardless of its position and movement, increasing the accuracy of facial expression recognition algorithms. This work specifies the technical characteristics of the developed device, paying special attention to both the hardware used (sensors, conditioning, microprocessors, connections) and the software, which is optimized for accurate and massive data acquisition. Although the information can be partially processed inside the device itself, the system is capable of sending information via Wi-Fi, with a very high data transfer rate, in case external processing is required. The most important features of the developed platform have been compared with those of a proven wearable device, namely the Empatica E4 wristband, in those measurements in which this is possible.
000118924 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T60-20R-AFFECTIVE LAB$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-096986-B-C31
000118924 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118924 590__ $$a3.9$$b2022
000118924 592__ $$a0.764$$b2022
000118924 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 86 = 0.302$$c2022$$dQ2$$eT1
000118924 593__ $$aInstrumentation$$c2022$$dQ1
000118924 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 63 = 0.302$$c2022$$dQ2$$eT1
000118924 593__ $$aAnalytical Chemistry$$c2022$$dQ1
000118924 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b100 / 274 = 0.365$$c2022$$dQ2$$eT2
000118924 593__ $$aMedicine (miscellaneous)$$c2022$$dQ2
000118924 593__ $$aInformation Systems$$c2022$$dQ2
000118924 593__ $$aBiochemistry$$c2022$$dQ2
000118924 593__ $$aAtomic and Molecular Physics, and Optics$$c2022$$dQ2
000118924 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ2
000118924 594__ $$a6.8$$b2022
000118924 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118924 700__ $$0(orcid)0000-0003-0832-6112$$aPonce de León, J.
000118924 700__ $$0(orcid)0000-0002-7500-4650$$aBeltrán, J. R.$$uUniversidad de Zaragoza
000118924 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000118924 773__ $$g22, 15 (2022), 5775 [25 pp.]$$pSensors$$tSensors$$x1424-8220
000118924 8564_ $$s3579888$$uhttps://zaguan.unizar.es/record/118924/files/texto_completo.pdf$$yVersión publicada
000118924 8564_ $$s2585287$$uhttps://zaguan.unizar.es/record/118924/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118924 909CO $$ooai:zaguan.unizar.es:118924$$particulos$$pdriver
000118924 951__ $$a2024-03-18-14:51:09
000118924 980__ $$aARTICLE