Hand gesture recognition for interactive media player using CNN and image classification
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Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper the problem of gesture recognition is addressed with a focus on the recognition of handshapes. Due to the number of parameters to be considered (joint angles, hand position, three-dimensional orientation, as well as muscle and skin deformations), even the isolated problem of handshapes recognition becomes very complicated for a solution using conventional deterministic algorithms. Machine learning methods. In this paper, we evaluated the 26 signs of the Sign Language but the results can then be extended to any gesture or movement performed with only one hand. Certainly, even if these gestures can be recognized precisely.
Açıklama
Anahtar Kelimeler
Algorithms, Classification, Hand Gesture, Machine Learning
Kaynak
ISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Awad, A. D., Koyuncu, H. (2022). Hand gesture recognition for interactive media player using CNN and image classification. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 753-756). IEEE.
