IEEE Trans Biomed Circuits Syst. 2008 Jun;2(2):97-105. doi: 10.1109/TBCAS.2008.927246.
This work describes the evaluation of a wearable plastic optical fiber (POF) sensor for monitoring seated spinal posture, as compared to a conventional expert visual analysis, and the development of a field-deployable posture monitoring system. A garment-integrated POF sensor was developed and tested on nine healthy subjects. Data from the wearable sensor were compared to data taken simultaneously from a marker-based motion capture system, for accuracy and reliability. Peak analysis of the resulting data showed a mean time error of 0.53 plusmn 0.8 s, and a mean value error of 0.64 plusmn 3.1 deg, which represents 14.5% of the average range of motion. Expert determination of transitional (good to bad) posture showed a variation of 20.9% of range of motion. These results indicate that the wearable sensor approximates the accuracy of expert visual analysis, and provides sufficient accuracy of measurement to reliably monitor seated spinal posture.
本工作描述了一种可穿戴式塑料光纤（POF）传感器，用于监测坐姿脊柱姿势，与传统的专家视觉分析进行了比较，并开发了一种现场可部署的姿势监测系统。开发了一种与服装集成的 POF 传感器，并在九名健康受试者上进行了测试。将可穿戴传感器的数据与基于标记的运动捕捉系统同时获取的数据进行了准确性和可靠性比较。对所得数据的峰值分析表明，平均时间误差为 0.53 0.8 s，平均角度误差为 0.64 3.1 deg，代表平均运动范围的 14.5%。专家确定过渡（好到坏）姿势的变化为运动范围的 20.9%。这些结果表明，可穿戴传感器接近专家视觉分析的准确性，并提供了足够的测量精度，能够可靠地监测坐姿脊柱姿势。
