Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors

Figure 4

Out-of-bag feature importance of the 17 explanatory variables: pressure sensors (1–16, Supplementary Materials: Figure A1) and backrest angle (17) for the RF (NVarToSample = 4). The sensors on the seat pan are presented in a plain colour, those on the armrests are presented as crosshatched ones, those on the backrest are presented as normal hatched ones, and the backrest angle is in patterned dots.