The prediction of speed and incline in outdoor running in humans using accelerometry
The prediction of speed and incline in outdoor running in humans using accelerometry
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DOI：
10.1097/00005768-199907000-00020
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发表时间：
1999-07-01
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影响因子：
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通讯作者：
Schutz, Y
中科院分区：
文献类型：
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作者：
Herren, R;Sparti, A;Schutz, Y
目的：探讨三轴加速度测量是否可以用来准确评估自由生活条件下跑步的速度和倾斜度。研究方法：通过便携式数据记录器记录了20名受试者（10名男性和10名女性）在跑步过程中下背部和脚跟处的身体加速度。在对人体加速度进行参数化后，设计了两个神经网络来识别每种跑步模式，并计算速度和坡度。每个受试者以不同的速度和坡度在户外道路上跑18次; 12次用于校准神经网络，而其他6次用于验证模型。结果：估计值与实际值之间的差异很小：均方误差（RMSE）的平方根为0.12 m。s（-1）;倾斜度为0.014辐射（rad）（或绝对值为1.4%）。多元回归分析可以准确预测速度（RMSE = 0.14米。s（-1）），但不倾斜（RMSE = 0.026 rad或2.6%斜率）。结论：三轴加速度测量可以准确估计跑步速度和地形倾斜度（后者具有更大的不确定性）。这将允许验证在跑步机上产生的能量结果，如应用于更生理不受约束的跑步条件。
Purpose: To explore whether triaxial accelerometric measurements can be utilized to accurately assess speed and incline of running in free-living conditions. Methods: Body accelerations during running were recorded at the lower back and at the heel by a portable data logger in 20 human subjects, 10 men, and 10 women. After parameterizing body accelerations, two neural networks were designed to recognize each running pattern and calculate speed and incline. Each subject ran 18 times on outdoor roads at various speeds and inclines; 12 runs were used to calibrate the neural networks whereas the 6 other runs were used to validate the model. Results: A small difference between the estimated and the actual values was observed: the square root of the mean square error (RMSE) was 0.12 m . s(-1) for speed and 0.014 radiant (rad) (or 1.4% in absolute value) for incline. Multiple regression analysis allowed accurate prediction of speed (RMSE = 0.14 m . s(-1)) but not of incline (RMSE = 0.026 rad or 2.6% slope). Conclusion: Triaxial accelerometric measurements allows an accurate estimation of speed of running and incline of terrain (the latter with more uncertainty). This will permit the validation of the energetic results generated on the treadmill as applied to more physiological unconstrained running conditions.