Figure 2.
Univariate correlation between features and walking speed (target variable). The minimal subset of features used for mobility assessment is bolded. AVG, average; STD, standard deviation; AC, activity counts; Ai, ith axis (e.g. A1= axis 1); VM, vector magnitude; NO, number of. The black bars were selected by machine learning techniques in Table 3 and the ranking algorithm described in the methods.