Linear-Optimal-Transport-for-Domain-Adaptation-in-Neuromorphic-Tactile-Texture-Classification

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Authors: Leila-hh, Mohamad Yaacoub
Cited by: 0

Abstract

The dataset consists of raw tactile signals acquired using a neuromorphic tactile sensing system during controlled texture-exploration experiments. The recordings were collected using an 8-unit PVDF (P(VDF-TrFE)) piezoelectric tactile sensor array mounted on a sensorized fingertip. 12 naturalistic textures (Texture 1 – Texture 12) 3 participants (PART1, PART2, PART3) 1 trial per texture per participant Total recordings: 36

Fields of Study & Subjects

Tactile and Sensory Interactions Domain Adaptation and Few-Shot Learning Advanced Sensor and Energy Harvesting Materials

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026