145155 20260217205518.0 doi 10.1109/JSEN.2024.3443615 sideral 140005 ART-2024-140005 eng Bacher, Emmanuel OptoSkin: novel LIDAR touch sensors for detection of touch and pressure within wave guides 2024 Access copy available to the general public Unrestricted Light Detection and Ranging (LIDAR) sensors, employing direct Time-of-Flight (dTOF) measurements, are crucial for precise surface localization and are increasingly integrated into compact chip designs. These sensors have extensive use in proximity sensing in various applications. This paper presents the innovative use of LIDAR sensors for ranging within wave guides to accurately detect touch and pressure. In our OptoSkin sensors, light propagates via total internal reflection (TIR) within the wave guide. Then it is reflected back to the sensor as a result of wave guide deformation and/or scattering in the contact area, a phenomenon attributed to frustrated total internal reflection (FTIR). We have designed, simulated, and implemented different OptoSkin sensors using wave guides constructed from a flexible rod, rigid curved 3D printed resin, and planar soft silicone rubber, respectively. Each configuration is equipped with multiple LIDAR sensors, demonstrating effective localization of touch points. In addition, pressure sensing was performed on the elastic wave guides. These novel touch sensors show great potential for applications such as robotic sensor skins, which enhance tactile responsiveness and interaction. info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101070310/EU/Physical Cognition for Intelligent Control and Safe Human-Robot Interaction/Sestosenso info:eu-repo/grantAgreement/EC/H2020/739508/EU//CAMART2 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 739508-CAMART2 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 4.5 2024 INSTRUMENTS & INSTRUMENTATION 16 / 79 = 0.203 2024 Q1 T1 PHYSICS, APPLIED 53 / 187 = 0.283 2024 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 99 / 368 = 0.269 2024 Q2 T1 1.039 2024 Instrumentation 2024 Q1 Electrical and Electronic Engineering 2024 Q1 8.2 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Cartiel, Sergio Universidad de Zaragoza García-Pueyo, Jorge Universidad de Zaragoza (orcid)0000-0001-6070-0509 Stopar, Julija Zore, Aleš Kamnik, Roman Aulika, Ilze Ogurcovs, Andrejs Grube, Jurgis Bundulis, Arturs Butikova, Jelena Kemere, Meldra Muñoz, Adolfo Universidad de Zaragoza (orcid)0000-0002-8160-7159 Laurenzis, Martin 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 24, 20 (2024), 33268-33280 IEEE sens. j. IEEE SENSORS JOURNAL 1530-437X 790469 http://zaguan.unizar.es/record/145155/files/texto_completo.pdf Versión publicada 3346929 http://zaguan.unizar.es/record/145155/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:145155 articulos driver 2026-02-17-20:27:35 ARTICLE