Real-time hand gesture extraction using python programming language facilities
المؤلفون المشاركون
Fahad, Azhir A.
Hasan, Hasan J.
Abd Allah, Salma H.
المصدر
Engineering and Technology Journal
العدد
المجلد 39، العدد 6 (30 يونيو/حزيران 2021)، ص ص. 1031-1040، 10ص.
الناشر
تاريخ النشر
2021-06-30
دولة النشر
العراق
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Hand gesture recognition is one of communication in which used bodily behavior to transmit several messages.
This paper aims to detect hand gestures with the mobile device camera and create a customize dataset that used in deep learning model training to recognize hand gestures.
The real-time approach was used for all these objectives: the first step is hand area detection; the second step is hand area storing in a dataset form to use in the future for model training.
A framework for human contact was put in place by studying pictures recorded by the camera.
It was converted the RGB color space image to the greyscale, the blurring method is used for object noise removing efficaciously.
To highlight the edges and curves of the hand, the thresholding method is used.
And subtraction of complex background is applied to detect moving objects from a static camera.
The objectives of the paper were reliable and favorable which helps deaf and dumb people interact with the environment through the sign language fully approved to extract hand movements.
Python language as a programming manner to discover hand gestures.
This work has an efficient hand gesture detection process to address the problem of framing from real-time Hand gesture recognition is one of communication in which used bodily behavior to transmit several messages.
This paper aims to detect hand gestures with the mobile device camera and create a customize dataset that used in deep learning model training to recognize hand gestures.
The real-time approach was used for all these objectives: the first step is hand area detection; the second step is hand area storing in a dataset form to use in the future for model training.
A framework for human contact was put in place by studying pictures recorded by the camera.
It was converted the RGB color space image to the greyscale, the blurring method is used for object noise removing efficaciously.
To highlight the edges and curves of the hand, the thresholding method is used.
And subtraction of complex background is applied to detect moving objects from a static camera.
The objectives of the paper were reliable and favorable which helps deaf and dumb people interact with the environment through the sign language fully approved to extract hand movements.
Python language as a programming manner to discover hand gestures.
This work has an efficient hand gesture detection process to address the problem of framing from real-time video.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fahad, Azhir A.& Hasan, Hasan J.& Abd Allah, Salma H.. 2021. Real-time hand gesture extraction using python programming language facilities. Engineering and Technology Journal،Vol. 39, no. 6, pp.1031-1040.
https://search.emarefa.net/detail/BIM-1281561
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fahad, Azhir A.…[et al.]. Real-time hand gesture extraction using python programming language facilities. Engineering and Technology Journal Vol. 39, no. 6 (2021), pp.1031-1040.
https://search.emarefa.net/detail/BIM-1281561
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fahad, Azhir A.& Hasan, Hasan J.& Abd Allah, Salma H.. Real-time hand gesture extraction using python programming language facilities. Engineering and Technology Journal. 2021. Vol. 39, no. 6, pp.1031-1040.
https://search.emarefa.net/detail/BIM-1281561
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 1039-1040
رقم السجل
BIM-1281561
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر