Light-Weight Deep Learning Techniques with Advanced Processing for Real-Time Hand Gesture Recognition.

Autor: Abdallah, Mohamed S.^1,2 (AUTHOR) sameer@gachon.ac.kr, Samaan, Gerges H.³ (AUTHOR), Wadie, Abanoub R.³ (AUTHOR), Makhmudov, Fazliddin¹ (AUTHOR), Cho, Young-Im¹ (AUTHOR) sameer@gachon.ac.kr

Publikováno v: Sensors (14248220). Jan2023, Vol. 23 Issue 1, p2. 20p.

Light-Weight Deep Learning Techniques with Advanced Processing for Real-Time Hand Gesture Recognition.

Autor: Abdallah MS; Department of Computer Engineering, Gachon University, Seongnam 1342, Republic of Korea.; Informatics Department, Electronics Research Institute (ERI), Cairo 11843, Egypt., Samaan GH; Department of Computer Science, Faculty of Computers and Artificial Intelligence, Helwan University, Helwan 11731, Egypt., Wadie AR; Department of Computer Science, Faculty of Computers and Artificial Intelligence, Helwan University, Helwan 11731, Egypt., Makhmudov F; Department of Computer Engineering, Gachon University, Seongnam 1342, Republic of Korea., Cho YI; Department of Computer Engineering, Gachon University, Seongnam 1342, Republic of Korea.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 20; Vol. 23 (1). Date of Electronic Publication: 2022 Dec 20.