Detection of The Deaf Signal Language Using The Single Shot Detection (SSD) Method

Q3 Engineering
D. Iskandar, M. Yel, Aldi Sitohang
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引用次数: 0

Abstract

Sign Language is a language that prioritizes manual communication, body language, and lip movements, instead of sound, to communicate. Deaf people are the main group who use this language, usually by combining hand shape, orientation and movement of the hands, arms, and body, and facial expressions to express their thoughts. Therefore, the researcher created an image recognition program in sign language using the Single Shot Detection (SSD) method, which is a convolution activity by combining several layers of preparation, by utilizing several components that move together and are motivated by a biological sensory system. The letters used in making sign language programs use the letters of the alphabet (az). This sign language detection programming that runs on the Google Collaboratory application
用单次检测(SSD)方法检测聋人信号语言
手语是一种优先使用肢体语言、肢体语言和嘴唇动作而不是声音进行交流的语言。聋哑人是使用这种语言的主要群体,通常通过结合手的形状、方向和手、手臂和身体的运动以及面部表情来表达他们的思想。因此,研究人员使用单镜头检测(Single Shot Detection, SSD)方法创建了一个手语图像识别程序,这是一种卷积活动,通过结合几层准备,利用几个共同移动的组件,并由生物感官系统驱动。用于制作手语程序的字母使用字母表中的字母(az)。这个在谷歌协作实验室应用程序上运行的手语检测编程
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
4 weeks
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