Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms"

This study presents an innovative material classification system involving an inductive tactile sensor and machine learning algorithms. A simple-structured sensor based on the principle of electromagnetic induction was developed to capture varying inductance signals induced by different materials with distinct magnetic properties, facilitating material detection and distinction. Various machine learning algorithms were employed to train classification models, and an aggregated model was presented based on the individual classifiers.