基于神经网络及虚拟现实技术的智能手势识别研究

Research on Intelligent Gesture Recognition Based on Neural Network and Virtual Reality Technology

手势识别过程需要克服动作识别以及信息判断,本研究结合神经网络以及虚拟现实基础构建出智能手势识别系统。系统通过高清视频捕捉设备进行手势视频收集,通过BP神经网络进行图像处理,使收集到的视频图像转化为系统可识别的量化信息,构建出智能手势识别系统后对系统进行测试,测试表明该系统具有一定实用性,并可为后续相关研究提供参考。

The gesture recognition process needs to overcome the action recognition and the information judgment. This research combined with the neural network and the virtual reality foundation to construct the intelligent gesture recognition system. HD video capture system equipment through gesture video collection,image processing by BP neural network,the video images collected into quantitative information system can identify,construct the intelligent gesture recognition system to test the system,the test indicates that the system has a certain practicality,and can provide reference for the follow-up study.