Research On Key Technology Of Human Gait Real-time Tracking

In recent years virtual reality technology is a rising research topic,with the constant improvement of the level of science and the continuous development of computer technology,virtual reality technology has been more and more attention.Inmany aspects the research of virtual reality technology have achieved important research results,it promote the military,aerospace,medical research,tourism,industrial simulation,games,entertainment,etc,virtual reality technology in People's Daily life plays the role of is becoming more and more big.Ideally the virtual reality system is supposed to have the experience of interaction in the virtual environment like the feeling in real environment.Some tourist attractions in virtual scene enables users never leave home can visit scenic spots of natural scenery around the world.Natural walking roaming in the virtual environment is one of the basic functions of virtual reality technology,but the current way of roaming in the virtual environment also remain by the mouse,keyboard,VR glasses,helmet,feedback data glove and a series of equipments apparel to human senses in the virtual environment.Most of these devices are some 2D interactive devices,interaction is not very convenient,users also feel unnatural.This thesis designed a gait system structure,research on human gait real-time tracking technology on the basis of consulting a large number of literature,is proposed based on a video type(Kinect)of human gait tracking method,according to the functions and characteristics of the Kinect,on the analysis of the Kinect SDK for Windows2.0 architecture,write C#program language in Microsoft Visual Studio 2013 drive Kinect to obtain the depth of the virtual scene data and human eight key bone node coordinates of lower limbs.Secondly,introduced the work principle of pedal walking device,analyzed the characteristics of hall sensors and photoelectric sensors.Using hall position sensor capture human foot rotating angle,and thus drive device according to the rotary Angle of the human foot along the axial rotation.The controller by receiving photoelectric sensor signals,move pedal device along the way,two types of sensors work together to follow the movements of the human foot.Finally,analysis of the human body normal walking gait features,based on the grey prediction theory gives a formula based on improved grey prediction theory,provides a theoretical basis for the human gait prediction.Thus to ensure the synchronization of pedals and human foot movement a method is put forward.