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Development of a vision-based feature extraction for food intake estimation for a robotic assistive eating device
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).ORCID iD: 0000-0002-6865-7346
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics (from 2013).
Camanio Care AB.
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2018 (English)In: 14th IEEE International Conference on Automation Science and Engineering Munich, Germany, August 20 to 24, 2018, 2018, p. 1105-1109Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2018. p. 1105-1109
Series
IEEE International Conference on Automation Science and Engineering, ISSN 2161-8070
National Category
Robotics
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-69965ISI: 000460536600174ISBN: 978-1-5386-3593-3 (print)OAI: oai:DiVA.org:kau-69965DiVA, id: diva2:1259040
Conference
14th IEEE International Conference on Automation Science and Engineering
Available from: 2018-10-26 Created: 2018-10-26 Last updated: 2019-04-05Bibliographically approved

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Solis, Jorge

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