Fig. 2

Pipeline of the gait signatures framework and outcomes. (a) 3D motion capture data from 17 able-bodied young adults walking on a treadmill across 9 speeds each was conducted. (b) Continuous timeseries kinematics and kinetics were extracted from all trials. (c) A sequence-to-sequence RNN was trained using subsets of the data recorded in (b), and individual-specific gait signatures were extracted for all individuals’ trials. (d) Principal component analysis was applied to reduce the dimensionality of the high dimensional latent states, each trial was phase-averaged, and the first 3 dominant PCs visualized as 3D loops. (e) 3D projections of low-dimensional gait signatures using multidimensional scaling reveal individual-specific gait signatures among 3 representative able-bodied young adults.