The planning of UAV flight maneuvers in unknown and complex flight environments requires gesture-assisted human-machine. To address this problem, the National Institute of Defense Technology Innovation Institute of the Military Academy of Sciences, in conjunction with the Tianjin Artificial Intelligence Innovation Center and a team from East China University of Science and Technology, has developed an IMU data glove that can capture fingertip movements and gestures for human-drone interaction and assisted control, while fusing multiple sensor data to improve the performance of gesture recognition.