Hand gesture classification using time–frequency images and transfer learning based on CNN

Hand gesture-based systems are one of the most effective technological advances and continue to develop with improvements in the field of human–computer interaction. Surface electromyography (sEMG) is utilized as a popular input data for gesture classification with elevated accuracy and advanced con...

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Bibliographic Details
Published inBiomedical signal processing and control Vol. 77; p. 103787
Main Authors Ozdemir, Mehmet Akif, Kisa, Deniz Hande, Guren, Onan, Akan, Aydin
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2022
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