Application Of Dynamic Gesture Track Recognition In Uav

The application of gesture trajectory recognition to control of unmanned aerial vehicle is a way of human-computer interaction.At home and abroad many companies have carried out research on it.In recent years,the rapid development of industry of UAV,in all walks of life have a wide range of applications,UAV quickly become a research hotspot.The traditional control of UAV using complex keys and joysticks.It can't meet the people for the UAV easy operation needs.At the same time with the rapid development of microelectronic sensors,the use of mobile intelligent devices to detect human gestures gradually become possible.Therefore,this study will use high-precision motion sensor equipment to detect gesture trajectories,the use of identified gesture trajectory control UAV.As the UAV flight will be subject to environmental constraints,not all gesture trajectories are applicable to UAV control.It is necessary to design a set of gestures for UAV control.At the same time,it is necessary to consider the problem of time and complexity of the algorithm when the resource is limited to the recognition of the gesture of the mobile device.At present,the algorithms of gesture recognition are generally Hidden Markov Model,and Dynamic Time Wrap.However,the accuracy and time complexity of these two algorithms have yet to be improved,can be applied to mobile smart devices.Finally,it is necessary to consider how to map the gesture trajectory into the flight path of the UAV.The question which needs to be considered is how to communicate with the UAV hardware platform to ensure the real-time stability of the communication.How to solve the UAV space attitude and relative displacement.Data of gesture trajectory and control data how to correspond.PID algorithm according to the control information to adjust a series of problems.In view of the above-mentioned problems,this study designed a set of eight flight control gesture trajectory movements for UAV control to meet the needs of UAV during flight.In this paper,the HMM gesture recognition algorithm and the DTW gesture recognition algorithm are discussed from the aspects of algorithm recognition accuracy and time complexity of the algorithm.Combined with the characteristics of mobile intelligent devices,through theoretical and experimental analysis,this study will use the Dynamic Time Wrap to achieve the identification of gesture trajectory.This paper systematically analyzes the process of UAV attitude calculation,and the principle of gesture trajectory control.This paper expatiates the process of data communication and the platform of hardware and software,and evaluates the performance of gesture trajectory control.The experimental results show that the application of the gesture trajectory to the flight control of the UAV can achieve better control effect and achieve the expected target of the study under the premise of ensuring the stable flight of the UAV.