The current mainstream data glove usually used mechanical, optical fiber type or image recognition method to obtain gestures, while this paper puts forward using MEMS sensor (triaxial gyro, three-axis accelerometer and three-axis magnetic resistance) to obtain the finger posture information .It based on the quaternion algorithm of extended kalman filtering information fusion method and the principle of inertial measurement. This data glove has multiple degrees of freedom ,strong anti-jamming capability and is easy to wear, not bound by the light conditions. Through the testing and experimentation, it proved the data glove based on MEMS is stable at working and has certain innovation and actual application value.%目前主流的数据手套采用机械式、光纤式或者图像识别等方法来获取手势姿态，本文提出利用MEMS传感器（三轴陀螺、三轴加速度计和三轴磁阻），根据惯性测量原理，采用基于四元数解算的扩展卡尔曼滤波信息融合方法来获得手指全姿态信息的方法。基于MEMS传感器设计的数据手套，穿戴方便，运动自由度大，抗干扰能力强，且不受光线条件的约束。测试和实验的结果表明，基于MEMS传感技术的数据手套稳定可靠，具有一定的创新性和实际应用参考价值。
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