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A Wearable, Self-Calibrating, Wireless Sensor Network for Body Motion Processing

机译:可穿戴,自校准,无线传感器网络用于车身运动处理

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A novel self-calibrating sensing technology using miniature linear encoders and Inertial/magnetic Measurement Unit (IMU) provides the accuracy, fast response and robustness required by many body motion processing applications. Our sensor unit consists of an accelerometer, a 3-axis magnetic sensor, 2 gyroscopes and a miniature linear encoder. The fusion of data from the sensors is accomplished by extracting the gravity related term from the accelerometer and consistently calibrating the gyroscopes and linear encoder when the sensor unit is under static conditions. Using the fused sensors, we developed a complete motion processing system that consists of a gateway where the human kinematics modeling is embedded. A time divided multiple access wireless architecture is adopted to synchronize the sensor network at 100Hz. Experimental results show that the combination of the IMU and linear encoder produces a low RMS error of 3.5° and correlation coefficient of 99.01%. A video showing the capture a performer's upper body motion is also realized.
机译:使用微型线性编码器和惯性/磁性测量单元(IMU)的新型自校准传感技术提供了许多身体运动处理应用所需的精度,快速响应和鲁棒性。我们的传感器单元包括加速度计,3轴磁传感器,2个陀螺仪和微型线性编码器。通过从加速度计提取重力相关术语并一致地校准当传感器单元处于静态条件下时,通过从加速度计提取重力相关术语来实现来自传感器的数据的融合。使用熔融传感器,我们开发了一个完整的运动处理系统,该系统由嵌入人类运动学建模的网关组成。采用时间划分多址无线架构以在100Hz上同步传感器网络。实验结果表明,IMU和线性编码器的组合产生了3.5°的低RMS误差和99.01%的相关系数。还实现了显示捕获表演者的上身运动的视频。

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