Inclination measurement of human movement using a 3-D accelerometer with autocalibration
Inclination measurement of human movement using a 3-D accelerometer with autocalibration
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DOI：
10.1109/tnsre.2003.822759
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发表时间：
2004-03-01
影响因子：
4.9
通讯作者：
Veltink, PH
中科院分区：
文献类型：
--
作者：
Luinge, HJ;Veltink, PH
在医疗领域，加速度计通常用于测量身体部位的倾斜度和日常生活活动（ADL），因为它们体积小且需要很少的功率。使用加速度计的一个缺点是对于大加速度运动的倾斜度估计质量较差。本文介绍了卡尔曼滤波器的设计和性能，用于根据三轴加速度计的信号估计倾斜度。该设计基于关于所测量的运动加速度的频率内容的假设、重力大小为I g 的知识并考虑波动的传感器偏移。结果表明，在堆垛箱功能性三维活动过程中测量躯干和骨盆倾斜度时，所产生的倾斜度误差约为2度均方根。与当前基于加速度计信号低通滤波的方法相比，其精确度几乎是两倍。
In the medical field, accelerometers are often used for measuring inclination of body segments and activity of daily living (ADL) because they are small and require little power. A drawback of using accelerometers is the poor quality of inclination estimate for movements with large accelerations. This paper describes the design and performance of a Kalman filter to estimate inclination from the signals of a triaxial accelerometer. This design is based on assumptions concerning the frequency content of the acceleration of the movement that is measured, the knowledge that the magnitude of the gravity is I g and taking into account a fluctuating sensor offset. It is shown that for measuring trunk and pelvis inclination during the functional three-dimensional activity of stacking crates, the inclination error that is made is approximately 2degrees root-mean square. This is nearly twice as accurate as compared to current methods based on low-pass filtering of accelerometer signals.