手部动作识别是人机交互的一种新技术,具有广泛的应用价值。本项目以ARM7微处理器为核心,通过三轴加速度和陀螺仪传感器采集手部动作信息,利用一种识别算法,分析获知手部的动作和姿态。再根据不同的手部动作,向从机系统(四旋翼飞行器)发送相应的控制命令,从而实现了通过手部动作来灵活而无死角地控制飞行器的飞行姿态和飞行路径。 Hand motion recognition is a new technology of human-computer interaction, which has a wide range of application value. The project takes ARM7 microprocessor as the core, collects the hand movement information through the three-axis acceleration and gyro sensor, and uses a recognition algorithm to analyze the movement and attitude of the hand. Then according to different hand movements, the corresponding control commands are sent to the slave system (quadrotor), so that the flight attitude and the flight path of the aircraft can be controlled flexibly and without dead angle by hand movements.