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Development of Android-Based Interactive Multimedia Using Total Communication Approach to Introduce Sign Language for Deaf Communities

机译:开发基于Android的交互式多媒体,使用全通信方法为聋人社区引入手语

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Sign language is a language that makes use of hand, finger and lip movements to communicate. Sign language is widely used in the education of the Extraordinary School (SLB), especially for the deaf and hard of ways that have shortcomings in listening and speaking. Because it has a lack of hearing and speaking, the deaf and underprivileged children are lacking in the vocabulary. Multimedia role is very important especially in the field of education. One of them is a sign language recognition media for deaf. The research aims to develop a multimedia interactive sign Language Introduction to the deaf using a total communication approach based on Android. Thus, the application can be utilized by deaf persons outside school hours. The method used in the application development is the MDLC (Multimedia Development Life Cycle) method of Luther Sutopo in 2010. Some phases of this method are concept, design, material collecting, assembly, testing, and distribution. Based on the results of the beta test done by the dissemination of the questionnaire against teachers who handle deaf children in the SLB Kartini Batam, interactive multimedia application of sign language recognition for the deaf child of Class 1 SDLB can help Add a child's vocabulary. The results gained from the tests conducted by researchers were divided into three aspects, 88.3% for the ease of user aspect, 82.5% for the aspect of the view and 82.5% for the educational aspect. All three aspects of the test results belong to the very good interval category.
机译:手语是一种利用手、手指和嘴唇的动作进行交流的语言。手语在特殊学校(SLB)的教育中被广泛使用,尤其是针对听力和口语方面存在缺陷的聋哑人和困难学生。因为它缺乏听力和口语,聋哑和弱势儿童缺乏词汇。多媒体的作用非常重要,尤其是在教育领域。其中之一是聋人手语识别媒体。该研究旨在开发一种基于Android的多媒体交互式聋人手语入门系统。因此,聋人可以在课余时间使用该应用程序。应用程序开发中使用的方法是2010年Luther Sutopo的MDLC(多媒体开发生命周期)方法。该方法的一些阶段包括概念、设计、材料收集、组装、测试和分发。根据针对在SLB Kartini Batam处理失聪儿童的教师发放的调查问卷的beta测试结果,针对1班SDLB失聪儿童的交互式多媒体手语识别应用程序可以帮助增加儿童的词汇量。研究人员进行的测试结果分为三个方面,用户方面的易用性占88.3%,视图方面占82.5%,教育方面占82.5%。测试结果的所有三个方面都属于非常好的区间类别。

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