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首页> 外文期刊>Multibody System Dynamics >Rider motion identification during normal bicycling by means of principal component analysis
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Rider motion identification during normal bicycling by means of principal component analysis

机译:通过主成分分析识别正常骑行过程中的车手运动

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摘要

Recent observations of a bicyclist riding through town and on a treadmill show that the rider uses the upper body very little when performing normal maneuvers and that the bicyclist may, in fact, primarily use steering input for control. The observations also revealed that other motions such as lateral movement of the knees were used in low speed stabilization. In order to validate the hypothesis that there is little upper body motion during casual cycling, an in-depth motion capture analysis was performed on the bicycle and rider system.
机译:最近对骑自行车的人穿过城镇和跑步机骑行的观察表明,骑手在进行常规操纵时几乎不使用上身,而骑自行车的人实际上可能主要使用转向输入进行控制。观察结果还表明,其他运动(如膝盖的横向运动)用于低速稳定。为了验证在休闲骑行期间上半身运动很少的假设,对自行车和骑手系统进行了深入的运动捕捉分析。

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