Learning-based thermal rendering in telepresence

Abstract : We propose a new method for thermal rendering in telepresence systems which allows an operator to feel most transparently the thermal behavior of the remote object. It is based on learning and thermal heat flux generation. Two databases are constructed from real measurements recorded during direct contact between operator's finger and different materials. One database is used in order to identify the material in the slave side, the other database is used to generate desired heat flux for the thermal display loop. The identification bloc is based on Principal Component Analysis and Neural Network. Experimental results validating the proposed method are discussed.
Type de document :
Poster
EH'08: 6th International Conference EuroHaptics, Jun 2008, Madrid, Spain. pp.820-825, 2008, 〈http://www.disam.upm.es/~eurohaptics2008/〉. 〈10.1007/978-3-540-69057-3_103〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00798803
Contributeur : François Keith <>
Soumis le : dimanche 10 mars 2013 - 18:44:29
Dernière modification le : jeudi 24 mai 2018 - 15:59:24

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Mohamed Guiatni, Abdelaziz Benallegue, Abderrahmane Kheddar. Learning-based thermal rendering in telepresence. EH'08: 6th International Conference EuroHaptics, Jun 2008, Madrid, Spain. pp.820-825, 2008, 〈http://www.disam.upm.es/~eurohaptics2008/〉. 〈10.1007/978-3-540-69057-3_103〉. 〈lirmm-00798803〉

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