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Table 3 Model performance with personalized classification model

From: Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?

Model Average accuracy, (%) Average evaluation time to classify 24 motions, (s)
SVM 90.61 4.06
KNN 74.15 0.04
LDA 93.55 0.28
Classification trees 82.08 0.65
  1. Average accuracy is calculated upon the 11 participants’ classification accuracies. Average evaluation time is calculated by taking the average time required to classify a set of 24 motions across the participants