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

<div>Histogram of the classification accuracy of the 41 different subjects for the three best classification methods (NN, Boosting, and RF), each using the parameters leading to the highest classification accuracy.</div>

BioMed Research International

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Figure 3

Figure 3: Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors 