Silva Neto, Valdemir Praxedes daOliveira, João Guilherme Domingos de2025-11-142025-11-142025-08-01OLIVEIRA, João Guilherme Domingos de. Sistema vestível para reconhecimento de gestos em libras com base em superfície seletiva de frequência. Orientador: Dr. Valdemir Praxedes da Silva Neto. 2025. 137f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2025.https://repositorio.ufrn.br/handle/123456789/66179This work presents the design, prototyping, experimental validation, and analysis of a new wearable device based on the coupling of a textile frequency selective surface (FSS) to a data glove, developed for static hand gesture recognition applications. Initially, a novel textile FSS is proposed, employing 100% cotton fabric as the dielectric material and a commercial conductive thread, Shieldex 78f20. The performance of the FSS is evaluated using two computational methods: a full-wave method, implemented in commercial tools (ANSYS HFSS) based on the finite element method (FEM), and the approximate equivalent circuit method (ECM), in which a simplified equivalent circuit of the proposed geometry is presented. After computational and experimental validation, the FSS was coupled to a data glove and applied to the recognition of different static hand gestures. As reported in the literature, several methods can be employed for this purpose, involving parameters related to variations in data obtained through optical, radiofrequency (RF), or computer vision signal measurements. In this work, the proposed method obtains data through an RF setup. Initially, five static gestures were measured, and based on the collected data, the variation in the magnitude of the S21 transmission coefficient was adopted as the classification metric. To numerically validate the results, a statistical analysis was performed using the t-Student test. The results indicated that 70% of the measured gestures presented significant differences among each other, considering a p-value < 0.005, highlighting the efficiency of the proposed device for this application. Additionally, a robustness analysis was conducted with two Brazilian Sign Language (Libras) gestures with small lexical differences, the letters “a” and “s.” The experimental results and subsequent statistical analysis showed significant differences when compared. The experimental values were compared to the simulated results, showing good agreement. Therefore, the findings confirm the potential of the proposed approach for applications in gesture recognition, human–machine interaction, virtual gaming interfaces, and augmented reality.pt-BRAcesso AbertoSuperfície seletiva em frequênciaReconhecimento de gestos estáticosDispositivo têxtildoctoralThesisENGENHARIAS::ENGENHARIA ELETRICA