首页> 中文期刊> 《计算机应用与软件》 >面向数字化陈展的自然人机交互技术研究

面向数字化陈展的自然人机交互技术研究

     

摘要

针对目前博物馆数字化陈展系统交互行为单一不自然,且开发成本高,可重复利用率低的问题,通过在XNA全屏环境下整合Wiimote的高精准度定位技术和WPF中InkCanvas控件的轨迹识别功能,开发了一套基于自然人机交互理念的数字化陈展系统,使用户可以通过不同的手势运动变换来对数字藏品进行相应的陈展操作.详细分析了Wiimote捕捉红外点位置的原理和与计算机的通信机制.实践证明,该系统的操作识别率高,成本低,可扩展性强,具有一定的实用价值.%In general, museum digital exhibit systems often have the problem of single and unnatural interactive action, high cost in development and low reusability. A digital exhibit system based on the concept of natural human-computer interaction is developed. The system integrates the precise positioning of Wiimote and the track recognition of WPF Controls InkCanvas in full-screen environment of XNA. It allows users to perform corresponding exhibition operation on digital collection according to the change of different gesture motions. Also, we analyse the principle of Wiimote in capturing the infrared points and the communication mechanism with computer in detail. The results of practice reveal that the system has certain application value due to its high recognition rate, low cost and strong scalability.

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