000165230 001__ 165230
000165230 005__ 20251219174252.0
000165230 0247_ $$2doi$$a10.3390/s25237319
000165230 0248_ $$2sideral$$a147004
000165230 037__ $$aART-2025-147004
000165230 041__ $$aeng
000165230 100__ $$aOgurcovs, Andrejs
000165230 245__ $$aCrosstalk Effects in a Dual ToF-Based Tactile–Proximity Sensing Platform Integrated in a Flat PMMA Light Guide
000165230 260__ $$c2025
000165230 5060_ $$aAccess copy available to the general public$$fUnrestricted
000165230 5203_ $$aWe investigate crosstalk effects in a dual-modality tactile–proximity sensing system based on Time-of-Flight (ToF) technology integrated within a flat poly(methyl methacrylate) (PMMA) light guide. Building on the OptoSkin framework, we employ two commercially available TMF8828 multi-zone ToF sensors, one configured for tactile detection via frustrated total internal reflection (FTIR) and the other for external proximity measurements through the same transparent substrate. Controlled experiments were conducted using a 2 cm2 silicone pad for tactile interaction and an A4-sized diffuse white target for proximity detection. Additional measurements with a movable PMMA sheet were performed to quantify signal attenuation, peak broadening, and confidence degradation under transparent-substrate conditions. The results demonstrate that the TMF8828 can simultaneously resolve both contact-induced scattering and distant reflections, but that localized interference zones occur when sensor fields of view overlap within the substrate. Histogram analysis reveals the underlying multi-path contributions, providing diagnostic insight not available from black-box ToF devices. These findings highlight both the opportunities and limitations of integrating multiple ToF sensors into transparent waveguides and inform design strategies for scalable robotic skins, wearable interfaces, and multi-modal human–machine interaction systems.
000165230 536__ $$9info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101070310/EU/Physical Cognition for Intelligent Control and Safe Human-Robot Interaction/Sestosenso$$9info:eu-repo/grantAgreement/ES/MCIU/FPU23-03132
000165230 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000165230 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000165230 700__ $$aAulika, Ilze
000165230 700__ $$aCartiel, Sergio$$uUniversidad de Zaragoza
000165230 700__ $$0(orcid)0000-0001-6070-0509$$aGarcia-Pueyo, Jorge$$uUniversidad de Zaragoza
000165230 700__ $$0(orcid)0000-0002-8160-7159$$aMuñoz, Adolfo$$uUniversidad de Zaragoza
000165230 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000165230 773__ $$g25, 23 (2025), 7319 [13 pp.]$$pSensors$$tSensors$$x1424-8220
000165230 8564_ $$s316218$$uhttps://zaguan.unizar.es/record/165230/files/texto_completo.pdf$$yVersión publicada
000165230 8564_ $$s2570438$$uhttps://zaguan.unizar.es/record/165230/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000165230 909CO $$ooai:zaguan.unizar.es:165230$$particulos$$pdriver
000165230 951__ $$a2025-12-19-14:43:27
000165230 980__ $$aARTICLE