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Fig. 3 | Journal of NeuroEngineering and Rehabilitation

Fig. 3

From: Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms

Fig. 3

A representative confusion matrix of one classification for the four motions. a) k-NN classifier with an accuracy of 0.985. b) SVM classifier with an accuracy of 0.981. NC = Noncompensation, TLF = Trunk lean-forward, TR = Trunk rotation, SE = Shoulder elevation, k-NN = k-nearest neighbor, SVM = support vector machine

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Journal of NeuroEngineering and Rehabilitation

ISSN: 1743-0003

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