基于卡尔曼滤波的手势控制系统设计与实现

Design and Implementation of Gesture Control System Based on Kalman Filter

针对目前手势控制系统多依赖于网络,功耗大、携带不方便等问题,设计了一种基于卡尔曼滤波的手势控制系统。该系统由手势控制模块和手势解析模块两部分组成。系统工作过程为,手势控制模块运用卡尔曼滤波从姿态传感器中解算出欧拉角,获取标志位,通过无线通信单元实现信息传输,由解析模块识别指令完成相应动作。测试表明,系统不依赖于网络能够实现无线智能控制,为工业小车、智能家居、体感游戏等方面的人机交互提供了一种解决方案。

In view of the problems that the current gesture control system has,such as heavily depending on the network,high power consumption and being inconvenient to carry,this paper designs a gesture control system based on Kalman filter,which consists of gesture control module and gesture analysis module.The workflow of the system is to use Kalman filter to solve the Euler angle from the posture sensor to obtain the flag bit,realize information transmission through the wireless communication unit,and then to complete corresponding actions by the analysis module.The test demonstrates that the system can realize wireless intelligent controller without relying on network,and it provides a solution to human-machine interactions in industrial cars,smart home applications,and somatic games,etc.