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Non-invasive, spatio-temporal gait analysis for sprint running using a single camera

机译：使用单个相机运行冲刺的非侵入性，时空步态分析

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Sprint running velocity is the product of step length and step rate. A tool to measure these key metrics would aid sprint training. Athletes require fast and non-invasive analysis tools, to allow them to focus on performance. A non-invasive, single camera gait analysis system (Gait Analyser) was developed and installed at the Sheffield Hallam University City Athletics Stadium (SHUCAS). The Gait Analyser filmed athletes sprinting in lanes 1, 5 and 8 wearing different coloured shoes in varied lighting conditions (e.g. sunlight or overcast). The Gait Analyser automatically identified the position and time of athlete's foot contacts, allowing the calculation of step length, step time and step velocity. Output data were compared to corresponding, manually identified measurements. For optimised setups, 100% of foot contacts were identified. Resultant direction root-mean square error (RMSE) for foot contact position and time was 108.9 mm and 0.03 s respectively. RMSE for step length, step time and step velocity was 4.9 mm, 0.00 s and 0.07 ms~(-1) respectively. The Gait Analyser measured spatio-temporal gait parameters of sprint running in situ without applying markers or sensors to the athlete or the running track: results were available 2-3 s after capture.
机译：Sprint运行速度是步长和阶梯率的乘积。测量这些关键指标的工具将有助于冲刺培训。运动员需要快速和无侵入性的分析工具，让他们专注于性能。在谢菲尔德哈勒姆大学城市田径体育场（Shucas）开发并安装了非侵入性的单摄像头步态分析系统（步态分析仪）。步态分析仪拍摄的运动员在车道1,5和8中冲刺，在各种照明条件下穿着不同的彩色鞋子（例如阳光或阴暗）。步态分析仪自动识别运动员脚触点的位置和时间，从而允许计算步长，步骤时间和步速度。将输出数据与对应的，手动识别的测量进行比较。对于优化的设置，识别了100％的脚触点。由此产生的脚接触位置和时间分别为108.9mm和0.03秒的结果方向均方误差（RMSE）。步进长度的RMSE，步进时间和阶梯速度分别为4.9mm，0.00秒和0.07ms〜（-1）。步态分析仪测量Sprint以原位运行的时空步态参数，而不将标记或传感器应用于运动员或运行轨道：捕获后的2-3秒可用结果。

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