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首页> 外文期刊>International Journal of Image, Graphics and Signal Processing >Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA
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Implementation of Hand Sign Recognition for Non-Linear Dimensionality Reduction based on PCA

机译:基于PCA的降维手势识别的实现。

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摘要

Hand Sign or gesture recognition is the way of communication for hearing and speech impaired people. Gestures are formed from motion of body or state but commonly initiate from the hand and face. Speech and gestures are the expressions; these are the communication medium between human beings. Hand gesture is movement or motion of human hand. Gesture recognition is mathematical interpretation of human hand by using computing devices. There are different sign languages used in all over world and have its own grammar structure. Even in India has different languages used in every state, sign languages has little difference in contra dictionary region. Hand sign recognition is used for robot control applications and sign language interpretation.
机译:手势或手势识别是听力和言语障碍人士的交流方式。手势是由身体或状态的运动形成的,但通常是从手和脸开始的。言语和手势是表达;这些是人与人之间的交流媒介。手势是人的手的运动或动作。手势识别是通过使用计算设备对人的手进行数学解释。世界各地使用了不同的手语,并且它们都有自己的语法结构。即使在印度,每个州都使用不同的语言,但在相反的词典区域中,手语也没有什么不同。手势识别用于机器人控制应用和手势语言解释。

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