PDF(Pubmed)
Abstract：
Recently, posture recognition technology has advanced rapidly. Herein, we present a novel posture angle calculation system utilizing a single inertial measurement unit and a spatial geometric equation to accurately identify the three-dimensional (3D) motion angles and postures of both the upper and lower limbs of the human body. This wearable system facilitates continuous monitoring of body movements without the spatial limitations or occlusion issues associated with camera-based methods. This posture-recognition system has many benefits. Providing precise posture change information helps users assess the accuracy of their movements, prevent sports injuries, and enhance sports performance. This system employs a single inertial sensor, coupled with a filtering mechanism, to calculate the sensor\'s trajectory and coordinates in 3D space. Subsequently, the spatial geometry equation devised herein accurately computed the joint angles for changing body postures. To validate its effectiveness, the joint angles estimated from the proposed system were compared with those from dual inertial sensors and image recognition technology. The joint angle discrepancies for this system were within 10° and 5° when compared with dual inertial sensors and image recognition technology, respectively. Such reliability and accuracy of the proposed angle estimation system make it a valuable reference for assessing joint angles.
摘要：
最近,姿态识别技术发展迅速。在这里，我们提出了一种新颖的姿势角计算系统，利用单个惯性测量单元和空间几何方程来准确识别人体上肢和下肢的三维（3D）运动角度和姿势。该可穿戴系统有助于连续监测身体运动,而没有与基于相机的方法相关联的空间限制或遮挡问题。这种姿势识别系统具有许多优点。提供精确的姿势变化信息有助于用户评估其运动的准确性，防止运动损伤，提高运动性能。该系统采用单个惯性传感器，加上过滤机制，计算传感器在三维空间中的轨迹和坐标。随后，本文设计的空间几何方程准确地计算了用于改变身体姿势的关节角度。为了验证其有效性，将所提出的系统估计的关节角度与双惯性传感器和图像识别技术的关节角度进行了比较。与双惯性传感器和图像识别技术相比，该系统的关节角度差异在10°和5°以内。分别。所提出的角度估计系统的这种可靠性和准确性使其成为评估关节角度的有价值的参考。
