【Prosthetic Hands】20 Third Generation - Experiments
In this article, I will introduce two primary experiments. 1. Comparison of different feature extracting method-and-classifier combination 2. Comparison of Decision Strategies In both experiments, the experiment setup is as follow. The subject sits comfortably on the chair, with left hand holding the prosthetic hand and the right hand wearing MYO armband. In the first experiment, I acquired 4,000 EMG signals from eight motion types, including Power Grasping, Wrist Extension, Lateral Pinch, Flattened Hand, Centralized Grip, Hook Grasping, Three-jaw Chuck, and Flexion (each for 500 times). Half of them are used to generate the classifier with 5 folds of cross validation to prevent overfitting; the other half are treated as the data to be predicted. The way I evaluate the effectiveness of a classifier is the Confusion Matrix and F-socre [1]. The test result of the combinations of 7 feature extracting methods and 3 types of classifiers are shown below. The combination of Medium Gaussi...
