@inproceedings{0234f8cd7542404c80222147f61ee3d0,
title = "Haptic Eye: A Contactless Material Classification System",
abstract = "In this paper we demonstrate a system capable of classifying different types of materials in a contactless fashion by using active infrared thermography and machine learning algorithms. A laser diode heats the materials and the infrared camera records the thermal dissipation signature of each material. These data are then fed to machine learning algorithms to classify the materials. This system can potentially be used in teleoperation applications for robots that operate in unknown scenes.",
author = "Tamas Aujeszky and Georgios Korres and Mohamad Eid",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 3rd International AsiaHaptics Conference, 2018 ; Conference date: 14-11-2018 Through 16-11-2018",
year = "2019",
doi = "10.1007/978-981-13-3194-7_25",
language = "English (US)",
isbn = "9789811331930",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "110--111",
editor = "Masashi Konyo and Ki-Uk Kyung and Sang-Youn Kim and Hiroyuki Kajimoto and Dongjun Lee",
booktitle = "Haptic Interaction - Perception, Devices and Algorithms, 2018",
}