Design of VR Experimental System Based on Leap Motion Gesture Recognition

Virtual Reality (VR) has gradually developed into a new type of means and resources, especially in the field of experimental teaching. This paper will start from the perspective of virtual simulation, based on virtual reality technology and gesture recognition technology, combined with actual electrical experiments Application scenarios, using Maya software, next-generation game engine Unreal Engine 4 (UE4) and deep learning algorithms to design and implement a set of low investment costs, flexible experiment development, high experiment safety factor and strong simulation interaction VR experimental system based on Leap Motion gesture recognition. Including the creation of the 3D model and detailed processing of the VR electrical experiment system based on Maya software, the scene construction and blueprint logic implementation of the VR electrical experiment system based on the UE4 engine, and using python programming to complete the development of the gesture recognition algorithm based on Deep Neural Networks(DNN).