基于惯性传感器的细胞手势运动研究

IEEE 2011 10th International Conference on Electronic Measurement & Instruments Pub Date : 2011-10-10 DOI:10.1109/ICEMI.2011.6037678

Liu Yu, Yang Ping, Bao Bizhen, C. Quayle, Xu Leon, Zhao Anping

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引用次数: 1

摘要

与键盘、触摸、声音等其他界面方式相比，基于惯性传感器的手势操作更加舒适、生动。通过陀螺仪或加速度计的单独使用和感测融合，可以实现对运动的识别和描述。提出了一种改进的卡尔曼滤波算法，用于数据平滑和滤波。采用四元数表示法恰当地描述方位。从传感原始数据仿真和实践结果来看，该方法是可靠有效的。

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Study on cell gesture motion based on inertial sensors

The gesture based on inertial sensor is more comfortable, vividly to perform interface, than other interface way, such as keyboard, touch, sound etc. Through using gyroscope or accelerometer singly and sense fusion, we can recognize and describe motion. An improving Kalman filter algorithm is proposed for the data smooth and filter. Quaternion representation is applied for properly describe orientation. The method is reliably and effectively from sense raw data simulation and practice result.

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IEEE 2011 10th International Conference on Electronic Measurement & Instruments

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