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Gesture Recognition Using Evolution Strategy Neural Network
Mälardalens högskola, Akademin för innovation, design och teknik.
Mälardalens högskola, Akademin för innovation, design och teknik.
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0002-5224-8302
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0001-5141-7242
2008 (engelsk)Inngår i: 2008 IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, 2008, s. 245-248Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn first time user's hand gestures rapidly. This improves product usability and acceptability. Artificial neural networks trained with the evolution strategy technique are found to be suited for this problem. The gesture recognition system is an integrated part of a larger project for addressing intelligent human-robot interaction using a novel multi-modal paradigm. The goal of the overall project is to address complexity issues related to robot programming by providing a multi-modal user friendly interacting system that can be used by SMEs.

sted, utgiver, år, opplag, sider
2008. s. 245-248
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URN: urn:nbn:se:mdh:diva-7277DOI: 10.1109/ETFA.2008.4638401ISI: 000260495500044Scopus ID: 2-s2.0-56349085101ISBN: 978-1-4244-1505-2 (tryckt)OAI: oai:DiVA.org:mdh-7277DiVA, id: diva2:237287
Konferanse
13th IEEE International Conference on Emerging Technologies and Factory Automation Location: Hamburg, GERMANY Date: SEP 15-18, 2008
Tilgjengelig fra: 2009-09-25 Laget: 2009-09-25 Sist oppdatert: 2013-12-19bibliografisk kontrollert

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Çürüklü, BaranAsplund, Lars

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