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Human–Computer Interaction for Smart Environment Applications Using Fuzzy Hand Posture and Gesture Models

机译:基于模糊手势和手势模型的人机交互在智能环境中的应用

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摘要

Ever since the assemblage of the first computer, efforts have been made to improve the way people could use machines. Recently, the usage of smart environments has become popular in order to make everyday living more comfortable and to improve the quality of living of humans. In this paper, a hand posture and gesture modeling and recognition system is introduced, which can be used as an interface to make possible communication with smart environment (intelligent space) by simple hand gestures. The system transforms preprocessed data of the detected hand into a fuzzy hand-posture feature model by using fuzzy neural networks and based on this model determines the actual hand posture applying fuzzy inference. Finally, from the sequence of detected hand postures, the system can recognize the hand gesture of the user.
机译:自第一台计算机组装以来,人们一直在努力改善人们使用机器的方式。最近,为了使日常生活更加舒适并改善人类的生活质量,使用智能环境已经变得流行。本文介绍了一种手势姿势建模与识别系统,该系统可以用作界面,通过简单的手势即可与智能环境(智能空间)进行通信。该系统通过使用模糊神经网络将检测到的手的预处理数据转换成模糊的手姿势特征模型,并在此模型的基础上运用模糊推理确定实际的手姿势。最后,根据检测到的手势的顺序,系统可以识别用户的手势。

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