Comparison of Machine Learning Methods for the Construction of a Standalone Gait Diagnosis Device
In this research, the authors investigate the feasibility of selecting three-dimensional thigh and shank angles as the features of machine learning methods. Four common machine learning techniques, i.e. random forest, k-nearest neighbour, support vector machine and perceptron, were compared in terms...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/79518 |