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Gestures conversion to Arabic letters
Other Title(s)
تحويل الإيماءات إلى الحروف العربية
Joint Authors
Aydam, Zuhur Musaid
Ali, Shakir Kazim
Source
Issue
Vol. 13, Issue 4 (31 Dec. 2018), pp.56-73, 18 p.
Publisher
University of Thi-Qar Research and Development Department
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
18
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
Gestures is one of the best ways of communication between dumb and blind people depend on the expression of signs.
In this paper we suggest an algorithm to recognizing hand gestures of Arabic latters to communicate between the dumb (through signs) and blind (hear the voice corresponding to sings).The proposed algorithm used the video of gesture from the dumb then convert the video into frames ( images) and calculate the distance to recognition the letters by using k-mean , k- medoid and artificial neural network, calculate the distance by using Euclidean distance and slop .There are sixteen features (8-features from Euclidean distance and 8-features from slop ).
The results were (93.3% For k-mean),(93.1% for k-medoid ) and(92.9% for ANN).We create our data base (from 5- videos with 308 frames).
American Psychological Association (APA)
Ali, Shakir Kazim& Aydam, Zuhur Musaid. 2018. Gestures conversion to Arabic letters. University of Thi-Qar Journal،Vol. 13, no. 4, pp.56-73.
https://search.emarefa.net/detail/BIM-875222
Modern Language Association (MLA)
Ali, Shakir Kazim& Aydam, Zuhur Musaid. Gestures conversion to Arabic letters. University of Thi-Qar Journal Vol. 13, no. 4 (Dec. 2018), pp.56-73.
https://search.emarefa.net/detail/BIM-875222
American Medical Association (AMA)
Ali, Shakir Kazim& Aydam, Zuhur Musaid. Gestures conversion to Arabic letters. University of Thi-Qar Journal. 2018. Vol. 13, no. 4, pp.56-73.
https://search.emarefa.net/detail/BIM-875222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 72-73
Record ID
BIM-875222