Studying the impact of age is important to understand the phenomenon of aging and the disorders that are associated with it. In this work, we analyze age-related alterations on the capacities to navigate on a bike. For this purpose, we use CycléoONE, a bike simulator, and entropy measures. We thus record navigation data (handlebar angle and speed) during the ride. They are processed with two cross-distribution entropy methods (time-shift multiscale cross-distribution entropy and multiscale cross-distribution entropy). We also analyze the time series with a detrended cross-correlation analysis to determine which method can best underline age-related alterations. Our results show that methods based on cross-distribution entropy may be efficient to stress the decrease in navigation capacities with age. The results are very encouraging for our future goal of adding medical benefits to a leisure equipment. They also show the value of using virtual reality to study the impact of age.

研究年龄的影响对于了解衰老现象和与之相关的疾病很重要。在这项工作中，我们分析了与年龄相关的自行车导航能力的变化。为此，我们使用 CycléoONE、自行车模拟器和熵测量。因此，我们在骑行过程中记录导航数据（车把角度和速度）。它们使用两种交叉分布熵方法（时移多尺度交叉分布熵和多尺度交叉分布熵）进行处理。我们还使用去趋势互相关分析来分析时间序列，以确定哪种方法最能强调与年龄相关的改变。我们的结果表明，基于交叉分布熵的方法可能有效地强调导航能力随着年龄的增长而下降。对于我们未来的目标，即为休闲设备增加医疗福利，结果非常令人鼓舞。他们还展示了使用虚拟现实来研究年龄影响的价值。