RT Generic
T1 Dataset for: Proposal and Implementation of a Procedure for Compliance Recognition of Objects with Smart Tactile Sensors
A1 Lora Rivera, Raúl
A1 Oballe-Peinado, Óscar
A1 Vidal-Verdú, Fernando
K1 Reconocimiento óptico de formas (Informática)
K1 Detectores ópticos
AB 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.
PB Universidad de Málaga
YR 2023
FD 2023
LK https://hdl.handle.net/10630/39119
UL https://hdl.handle.net/10630/39119
LA eng
NO PID2021-125091OB-I00
NO Spanish Government with a Formación de Profesorado Universitario (FPU) Grant given by the Ministerio de Ciencia, Innovación y Universidades
NO European Regional Development Fund (ERDF) Program Funds
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 22 mar 2026