Age-related alterations on the capacities to navigate on a bike: use of a simulator and entropy measures

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 CycleoONE, 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.

Automated summary

This study examines the impact of age on bike navigation abilities, using a bike simulator and entropy measures. The results suggest that methods based on cross-distribution entropy may be effective in highlighting the decrease in navigation capacities with age. This indicates the potential of incorporating medical benefits into leisure equipment and the value of using virtual reality for studying the impact of age.