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Gait parameters in school going children using a marker-less approach

机译：使用无标记方法的入学儿童的步态参数

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The burden of course work in Indian schools has exposed the school children to various postural/gait disorders due to heavy backpack. Therefore, it is paramount to develop a low cost, non-intrusive and reliable method for calculation of gait parameters. This study assessed the spatiotemporal parameters such as height of earlobe (HoE), stride length (SL) and stride width (SW) using the markerless sensor Kinect v2 and conventional techniques pursued in Indian clinics. Sixty school children (aged 11 to 15 years) were monitored through both the techniques while performing walking trials. To assess the agreement between the techniques Bland-Altman 95% bias, percentage error (PE), Pearson's correlation coefficients (r(1)) and concordance correlation coefficients (r(2)) were determined. Each parameter obtained from both techniques possessed strong correlation (r(1) (and 2) > 0.90). Gait analysis using the Kinect V2 sensor is an acceptable, unobtrusive and economical method. The effect of relative backpack weight (RBW), i.e. (bag weight to body weight percentage) and strategies of backpack packing recommended by the American Occupational Therapy Association on the selected parameters was studied. The effect of RBW on the variation in parameters was evaluated using the regression curve whereas the effect of proper packing was evaluated by paired sample T test. RBW has positive correlation with SW (r(1) = 0.631), negative correlation with HoE (r(1) = -0.387) but shows no correlation with SL. Recommended packing strategy of schoolbag by AOTA shows results to reduce the unwanted variation in gait parameters.
机译：印度学校课程的负担使沉重的背包使学童面临各种姿势/步态障碍。因此，开发一种低成本，非侵入性和可靠的步态参数计算方法至关重要。这项研究使用无标记传感器Kinect v2和印度诊所采用的常规技术评估了时空参数，例如耳垂高度（HoE），步幅长度（SL）和步幅宽度（SW）。在进行步行试验时，通过这两种技术对60名学龄儿童（11至15岁）进行了监测。为了评估Bland-Altman 95％偏差技术，百分比误差（PE），Pearson相关系数（r（1））和一致性相关系数（r（2））之间的一致性。从这两种技术获得的每个参数都具有很强的相关性（r（1）（和2）> 0.90）。使用Kinect V2传感器进行步态分析是一种可以接受，不干扰且经济的方法。研究了美国职业治疗协会推荐的相对背包重量（RBW）（即背包重量与体重百分比）的影响以及背包包装策略对所选参数的影响。使用回归曲线评估RBW对参数变化的影响，而通过配对样品T检验评估适当包装的影响。 RBW与SW呈正相关（r（1）= 0.631），与HoE呈负相关（r（1）= -0.387），但与SL没有相关性。 AOTA推荐的书包包装策略显示出减少步态参数不必要变化的结果。

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