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Analysis of Sign Language Gestures using Size Functions and Principal Component Analysis

机译:使用尺寸函数和主成分分析分析手语手势的分析

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This paper presents a computer vision based virtual learning environment for teaching communicative hand gestures used in Sign Language. A virtual learning environment was developed to demonstrate signs to the user. The system then gives real time feedback to the user on their performance of the demonstrated sign. Gesture features are extracted from a standard web-cam video stream and shape and trajectory matching techniques are applied to these features to determine the feedback given to the user.
机译:本文介绍了一种基于计算机视觉的虚拟学习环境,用于教授手术中使用的交通手势。开发了虚拟学习环境以向用户展示标志。然后,系统向用户提供对用户的实时反馈,他们对演示标志的性能。从标准的Web-CAM视频流中提取手势特征,并将形状和轨迹匹配技术应用于这些特征以确定给予用户的反馈。

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