In this proof of concept, we use Computer Vision (CV) methods to extract pose information out of exercise videos. We then employ a modified version of Dynamic Time Warping (DTW) to calculate the deviation from a gold standard execution of the exercise. Specifically, we calculate the distance between each body part individually to get a more precise measure for exercise accuracy. We can show that exercise mistakes are clearly visible, identifiable and localizable through this metric.

翻译：在此概念验证中，我们采用计算机视觉方法从运动视频中提取姿态信息，进而利用改进版动态时间规整算法计算与标准运动执行方案的偏差。具体而言，我们分别计算各身体部位与标准动作的距离，以获得更精确的运动准确性度量。研究表明，通过该度量方法可清晰观测、识别并定位运动错误。