000162934 001__ 162934
000162934 005__ 20251017144629.0
000162934 0247_ $$2doi$$a10.1109/LSENS.2025.3601010
000162934 0248_ $$2sideral$$a145454
000162934 037__ $$aART-2025-145454
000162934 041__ $$aeng
000162934 100__ $$0(orcid)0000-0002-1229-8591$$aDomínguez Gimeno, Sergio$$uUniversidad de Zaragoza
000162934 245__ $$aA new approach for real-time center-of-pressure correction in pressure sensitive mats using feedforward neural networks
000162934 260__ $$c2025
000162934 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162934 5203_ $$aCenter-of-pressure (CoP) is a good clinical indicator in balance tests and fall-risk assessment. It can be detected using pressure sensitive mats (PSMs), which are affordable. However, these can suffer from certain nonidealities, such as hysteresis and creep. These effects have been assessed in literature. However, proposed algorithms have low computation speed and are complex. In this work, a completely new approach based on feedforward neural networks (FFNNs) is proposed with the goal of correcting the CoP given by PSMs, allowing real-time correction. Its performance is compared in terms of error and computation times with a state-of-the-art model, which corrects for hysteresis and creep in the PSM. Results show that FFNN can correct for the CoP measurements, providing a good accuracy-speed balance.
000162934 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T49-23R$$9info:eu-repo/grantAgreement/ES/MCIN/PID2021-125091OB-I00$$9info:eu-repo/grantAgreement/ES/MTDFP-INCIBE/C-2023-077
000162934 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000162934 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162934 700__ $$0(orcid)0000-0002-1561-0536$$aIgual Catalán, Raúl$$uUniversidad de Zaragoza
000162934 700__ $$0(orcid)0000-0001-7671-7540$$aMedrano Sánchez, Carlos$$uUniversidad de Zaragoza
000162934 700__ $$0(orcid)0000-0001-7550-6688$$aPlaza García, Inmaculada$$uUniversidad de Zaragoza
000162934 700__ $$aMartínez Cesteros, Javier$$uUniversidad de Zaragoza
000162934 700__ $$aPasetti, Marco
000162934 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000162934 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000162934 773__ $$g9, 9 (2025), 7004804 [4 pp.]$$tIEEE Sensors Letters$$x2475-1472
000162934 8564_ $$s687840$$uhttps://zaguan.unizar.es/record/162934/files/texto_completo.pdf$$yVersión publicada
000162934 8564_ $$s3248364$$uhttps://zaguan.unizar.es/record/162934/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162934 909CO $$ooai:zaguan.unizar.es:162934$$particulos$$pdriver
000162934 951__ $$a2025-10-17-14:25:33
000162934 980__ $$aARTICLE