Nonlinear time series analysis was used to estimate maximal Lyapunov exponents of select
ankle and knee kinematics during three different conditions of treadmill walking:
independent, side by side, and side by side with forced synchronization of stepping. Stride to
stride variability was significantly increased for the condition in which individuals walked
side by side and synchronized unintentionally when compared to the conditions of forced
synchronization and independent walking. In addition, standard deviations of three …