Rehabilitation Engineering Lab, Department of Health Science and Technology, ETH Zurich, 8092 Zurich, Switzerland.
Sensors (Basel). 2019 Mar 15;19(6):1312. doi: 10.3390/s19061312.
Real-time motion capture of the human arm in the home environment has many usecases, such as video game and therapy applications. The required tracking can be based onoff-the-shelf Inertial Measurement Units (IMUs) with integrated three-axis accelerometers, gyroscopes,and magnetometers. However, this usually requires a homogeneous magnetic field to correctfor orientation drift, which is often not available inside buildings. In this paper, RPMC (RestPose Magnetometer-based drift Correction), a novel method that is robust to long term drift inenvironments with inhomogeneous magnetic fields, is presented. The sensor orientation is estimatedby integrating the angular velocity measured by the gyroscope and correcting drift around the pitchand roll axes with the acceleration information. This commonly leads to short term drift aroundthe gravitational axis. Here, during the calibration phase, the local magnetic field direction for eachsensor, and its orientation relative to the inertial frame, are recorded in a rest pose. It is assumed thatarm movements in free space are exhausting and require regular rest. A set of rules is used to detectwhen the user has returned to the rest pose, to then correct for the drift that has occurred with themagnetometer. Optical validations demonstrated accurate (root mean square error RMS = 6.1), lowlatency (61 ms) tracking of the user's wrist orientation, in real time, for a full hour of arm movements.The reduction in error relative to three alternative methods implemented for comparison was between82.5% and 90.7% for the same movement and environment. Therefore, the proposed arm trackingmethod allows for the correction of orientation drift in an inhomogeneous magnetic field by exploitingthe user's need for frequent rest.
在家庭环境中实时捕捉人体手臂运动有许多用途,例如视频游戏和治疗应用。所需的跟踪可以基于具有集成三轴加速度计、陀螺仪和磁力计的现成惯性测量单元 (IMU)。然而,这通常需要一个均匀的磁场来纠正方向漂移,而建筑物内通常没有这种磁场。在本文中,提出了一种新的方法 RPMC(基于静止磁力计的漂移校正),该方法在具有非均匀磁场的环境中对长期漂移具有鲁棒性。传感器方向通过积分陀螺仪测量的角速度并使用加速度信息校正俯仰和滚动轴周围的漂移来估计。这通常会导致围绕重力轴的短期漂移。在这里,在校准阶段,记录每个传感器的局部磁场方向及其相对于惯性框架的方向,处于静止姿势。假设在自由空间中手臂运动是费力的,需要定期休息。使用一组规则来检测用户何时返回静止姿势,然后使用磁力计校正已经发生的漂移。光学验证表明,在一个小时的手臂运动过程中,腕部方向的实时跟踪准确(均方根误差 RMS=6.1),延迟低(61ms)。与为比较而实现的三种替代方法相比,相同运动和环境下的误差减少了 82.5%至 90.7%。因此,所提出的手臂跟踪方法通过利用用户对频繁休息的需求来校正非均匀磁场中的方向漂移。