Research And Application Of Spatial Gesture Recognition Based On KNN Algorithm

In recent years,the rapid development of Internet and computer hardware,to lay a solid foundation for the development of other areas of the Internet,learning machine in theory,artificial intelligence is a hotspot of research,application of VR and AR virtual reality equipment in a step by step to mature,many companies have launched a market oriented product line.Although in artificial intelligence can make fault rate comparable to humans,but now our life has been a lot of artificial intelligence are surrounded by such as handwriting recognition and speech in the We Chat mobile phone recognition application scenarios,Google company is the United States last year launched an entirely artificial intelligent control chess player alphago,alphago go all the way into the forefront of the world in the official rankings go in,and eventually defeated the famous Korean players Li Shishi This news create a great sensation.As shown above,the development of artificial intelligence to the user to bring convenient operation,greatly enhance the user experience,and in other areas also has a very great potential for development.VR and AR virtual reality devices and applications in the past two years without a fire,hardware support can make virtual reality into our lives,HTC VIVE and Microsoft hololens from the release has attracted countless eyes.In this paper,through a variety of practical application of the research status at home and abroad are analyzed and the current in the field of virtual reality,in the research on artificial intelligence classification algorithm and HTC VIVE system based on the spatial gesture recognition KNN algorithm and application based on VR environment.Research contents include:(1)to explore how to solve the problem of human-computer interaction in VR,how to use open the gap between users and devices,allowing users to more natural immersion into virtual reality equipment construction scene,through a similar mouse controller to control the operation of the user in the HTC VIVE device,but this kind of interaction often interfere with the normal use of the user experience,is not perfect,based on research in this hardware device using machine learning algorithm to simulate gesture recognition scene.(2)the principle and operation mechanism of the in-depth study of KNN and SVM two kinds of classification algorithms,understanding and analysis of the application of its basic ideas and code structure,analyzing the advantages and disadvantages of different classification algorithms based on VR,and according to the application of gesture recognition to build,analyze the applicability of the algorithm,make a choice,and the algorithm complexity and the performance of the algorithm is to try to optimize.(3)programming on KNN and SVM algorithm,using the standard data set to test its efficiency and performance,based on the relevant parameters such as changing the tuning of KNN algorithm or K value is applicable to determine the parameters of the relevant parameters in the SVM algorithm,finally through the combination of KNN and SVM,and optimize the classification effect,and get the optimal analysis report.(4)the present VR technology in HTC VIVE device platform,construction of gesture recognition scenarios and the use of Python to achieve the server data transmission and return result using Unity game development engine module,application of gesture recognition to achieve the ultimate.