Gesture Recognition and UAV Control System Based on Data Glove
Compared with manned aircraft,unmanned aerial vehicles(UAVs)are favored by militar-ies around the world because of their small size,low cost,convenient use,low requirements on com-bat environment and strong battlefield survivability.In the face of complex flight environment,tradi-tional control systems such as remote control and ground station can't meet the application require-ments.Considering the user's habit and the accessibility of UAV control,this paper proposes an end-to-end control system of UAV based on data glove and a real-time dynamic gesture segmentation al-gorithm.Firstly,dynamic gestures of different lengths were divided by setting the threshold of angu-lar velocity.Then using linear interpolation method and combined data mean method,dynamic ges-tures of different lengths were resampling to fixed length.Finally,a gesture recognition algorithm combined with multi-flow one-dimensional convolution and Transformer is proposed,which achieves a high recognition rate of 98.76％and 97.78％in the test set and outdoor experiment,re-spectively, which is 3.39％ and 5.56％ higher than the traditional LSTM algorithm. It shows that the algorithm not only has good recognition and generalization ability, but also has good real-time and rapid response ability. In the outdoor experiment, the UAV can execute the corresponding command within 0.8s after the completion of a single gesture, showing good application potential.
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