Accession Number:

AD1026237

Title:

An Investigation to Improve Classifier Accuracy for Myo Collected Data

Descriptive Note:

Technical Report

Corporate Author:

US Army Research Laboratory, Computational and Information Sciences Directorate Adelphi United States

Report Date:

2017-02-01

Pagination or Media Count:

64.0

Abstract:

A nave Bayes classifier trained with 1,360 samples from 17 volunteers performs at an accuracy of 72.5 based on 10-fold cross validation. This accuracy is based on using the entire data set. One approach to increasing the accuracy is by analyzing the data and removing irregular samples from the training set. As the quality of the training data increases, the accuracy of the classifier will increase. This report describes analysis of 2 features of the training data, observed unusual patterns, and how fine tuning the training set increased the accuracy by 7.2 .

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE