Table 3 Classification results of the set of Q = 36 individuals (18 individuals with the Parkinson’s disease and 18 controls) using two features (stride lengths and gait velocities) and different models with selected transfer functions (TF), spread (S) and misclassified number of values in brackets
From: Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect
Classification model | System parameters | Accuracy | K-fold cross validation | |
|---|---|---|---|---|
K = Q | K = Q/2 | |||
Perceptron | Hardlim | 88.9 | 0.11 (4) | 0.14 (5) |
RBFN 36-7-1 | Radial (S:1) | 88.9 | 0.11 (4) | 0.08 (3) |
RBFN 36-18-1 | Radial (S:0.1) | 91.7 | 0.17 (6) | 0.14 (5) |
NN 36-4-2 | TF: sigmoid | 97.2 | 0.08 (3) | 0.11 (4) |