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Investigating the Feasibility Factors of Synthetic Sign Language Visualization Methods on Mobile Phones

机译:研究手机上合成手语可视化方法的可行性因素

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The SASL project at the University of the Western Cape is in the process of creating a machine translation system on mobile phones that can automate the translation process between English and South African Sign Language (SASL). This will supplement the use of highly trained interpreters that are expensive and scarce. In order to do this it is necessary to determine whether or not sign language visualization on mobile phones is feasible. This paper describes the research carried out in order to determine the feasibility of four sign language visualization methods on mobile phones. Three factors were considered: the intelligibility; the bandwidth consumption; and the power consumption associated with each method, with the intelligibility being the most important factor. Three of these methods were synthetic sign language visualization methods. It was found that, on average, 65% of signs were recognizable. This figure was affected by sign language dialect variations and increased to 85% with this factor removed. On average, the animations of methods were found to have file sizes of 162 KB and caused a 180% increase in power consumption, compared to the idle operation, on the mobile phone.
机译:西开普大学的SASL项目正在开发一种在手机上的机器翻译系统,该系统可以自动进行英语和南非手语(SASL)之间的翻译过程。这将补充使用昂贵且稀缺的训练有素的口译员。为此,必须确定在手机上可视化手语是否可行。本文介绍了为确定四种手语可视化方法在手机上的可行性而进行的研究。考虑了三个因素:清晰度;带宽消耗;以及每种方法的功耗,清晰度是最重要的因素。这些方法中的三种是合成手语可视化方法。发现平均可识别出65%的迹象。这个数字受手语方言变化的影响,在删除该因素的情况下,这一数字增加到了85%。平均而言,方法的动画被发现具有162 KB的文件大小,与手机上的空闲操作相比,导致功耗增加了180%。

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