2026-06-01T08:29:53Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/391192026-02-03T11:37:25Zcom_10630_2254col_10630_20092

Dataset for: Proposal and Implementation of a Procedure for Compliance Recognition of Objects with Smart Tactile Sensors Lora Rivera, Raúl Oballe-Peinado, Óscar Vidal-Verdú, Fernando Reconocimiento óptico de formas (Informática) Detectores ópticos PID2021-125091OB-I00 Smart tactile sensors provide the raw moments of the tactile image when the object is squeezed and desqueezed. A set of simple parameters from moment-versus-time graphs are proposed as features, to build the input vector of a classifier. The extraction of these features was implemented in the field programmable gate array (FPGA) of a system on chip (SoC), while the classifier was implemented in its ARM core. Many different options were realized and analyzed, depending on their complexity and performance in terms of resource usage and accuracy of classification. A classification accuracy of over 94% was achieved for a set of 42 different classes. 2025-06-25T08:26:03Z 2025-06-25T08:26:03Z 2023 dataset https://hdl.handle.net/10630/39119 10.24310/riuma.39119 eng Lora-Rivera R, Oballe-Peinado Ó, Vidal-Verdú F. Proposal and Implementation of a Procedure for Compliance Recognition of Objects with Smart Tactile Sensors. Sensors. 2023; 23(8):4120. https://doi.org/10.3390/s23084120 https://hdl.handle.net/10630/27007 http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Universidad de Málaga