A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System.

Al Farid, Fahmid; Hashim, Noramiza; Abdullah, Junaidi; Bhuiyan, Md Roman; Shahida Mohd Isa, Wan Noor; Uddin, Jia; Haque, Mohammad Ahsanul; Husen, Mohd Nizam

Al Farid, Fahmid; Hashim, Noramiza; Abdullah, Junaidi; Bhuiyan, Md Roman; Shahida Mohd Isa, Wan Noor; Uddin, Jia; Haque, Mohammad Ahsanul; Husen, Mohd Nizam.

Afiliación

Al Farid F; Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia.
Hashim N; Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia.
Abdullah J; Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia.
Bhuiyan MR; Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia.
Shahida Mohd Isa WN; Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia.
Uddin J; Technology Studies Department, Endicott College, Woosong University, Daejeon 32820, Korea.
Haque MA; Department of Computer Science, Aarhus University, 9100 Aarhus, Denmark.
Husen MN; Cybersecurity & Technological Convergence, Malaysian Institute of Information Technology Universiti Kuala Lumpur, Kuala Lumpur 50250, Malaysia.

J Imaging ; 8(6)2022 May 26.

Article en En | MEDLINE | ID: mdl-35735952

Palabras clave

deep learning; feature extraction; gesture classification; gesture recognition; recognition accuracy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Imaging Año: 2022 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Suiza

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