Research On Gesture Recognition Algorithm Based On Motion Trajctory

In recent years,Internet of Things technology has been rapidly developed.Human computer interaction is more and more common.In addition,the gesture is as an important part of human computer interaction and plays an important role in people's lives.However,at present,MEMS inertial sensor-based gesture recognition methods need to analyze the eigenvalues or corresponding laws of acceleration and angular velocity of each gesture.Then according to the above rules or eigenvalues,the system is able to identify the corresponding gesture.The kind of method demands to analyze the movement details of each gesture,and the operator needs to operate corresponding gesture on the basis of the designer's predetermined gestures,This will lead to such a result that the user needs to operate the corresponding gestures inconveniently.In view of the above situation,this paper presented a gesture recognition method based on motion trajectory.By tracking the motion trajectory of the gesture,the paper was able to avoid the kinematics analysis of each gesture and just needs to analyze the gesture trajectory characteristics.This article aims not only to facilitate user-defined gesture operations,but also increased the diversity of gesture recognition.After knowing a lot of documents,this paper introduced the basic principles of motion tracking and the method of gesture recognition,and has analyzed the sources of error of MEMS inertial sensors,and has established the acceleration and angular velocity of the system error model and the random error model.On the one hand,based on the trajectory tracking theory,this paper has designed an automatic data truncation algorithm to reduce the redundant data.The quaternion error processing algorithm has been designed to improve the accuracy of the transfer matrix.In addition,due to the influence of gravitational acceleration on trajectory calculation,a gravitational acceleration compensation algorithm has been designed to eliminate its influence.After that,the error of the velocity and displacement of the integral calculation exists,and the speed displacement reconstruction algorithm has been proposed.On the other hand,based on the theory of gesture recognition,the paper has combined with the trajectory of the actual gesture,and the eigenvalue and gesture classifier of trajectory and the algorithm of extracting eigenvalue have been designed.Finally,the algorithm of gesture recognition of motion trajectory has been simulated by Matlab.Finally the experimental results was shown graphically.And the result demonstrates that the gesture recognition rate of the system is higher than 90%,to achieve the desired effect.