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Static Palm Sign Gesture Recognition with Leap Motion and Genetic Algorithm
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-0546-116x
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-6158-3543
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-8532-0895
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2021 (English)In: 2021 Swedish Artificial Intelligence Society Workshop (SAIS), IEEE, 2021, p. 54-58Conference paper, Published paper (Refereed)
Abstract [en]

Sign gesture recognition is the field that models sign gestures in order to facilitate communication with hearing and speech impaired people. Sign gestures are recorded with devices like a video camera or a depth camera. Palm gestures are also recorded with the Leap motion sensor. In this paper, we address palm sign gesture recognition using the Leap motion sensor. We extract geometric features from Leap motion recordings. Next, we encode the Genetic Algorithm (GA) for feature selection. Genetically selected features are fed to different classifiers for gesture recognition. Here we have used Support Vector Machine (SVM), Random Forest (RF), and Naive Bayes (NB) classifiers to have their comparative results. The gesture recognition accuracy of 74.00% is recorded with RF classifier on the Leap motion sign gesture dataset.

Place, publisher, year, edition, pages
IEEE, 2021. p. 54-58
Keywords [en]
Palm Gesture, Gesture recognition, Support Vector Machine, Random Forest, Naive Bayes, Genetic Algorithm
National Category
Human Computer Interaction
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-86555DOI: 10.1109/SAIS53221.2021.9508468ISI: 000855522600001OAI: oai:DiVA.org:ltu-86555DiVA, id: diva2:1584290
Conference
33rd Workshop of the Swedish Artificial Intelligence Society (SAIS 2021), online, 14-15 June, 2021
Available from: 2021-08-11 Created: 2021-08-11 Last updated: 2023-09-05Bibliographically approved

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Kovács, GyörgyMokayed, HamamSaini, Rajkumar

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Rakesh, SumitKovács, GyörgyMokayed, HamamSaini, Rajkumar
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