Hand Gesture Data Collection Procedure Using a Myo Armband for Machine Learning
Abstract
In 2015, the Battlefield Information Processing Branch investigated using machine learning (ML) to identify military hand gestures. A Naive Bayes model was trained and created as an initial test. Naturally, the capability of the model relies on the quality and quantity of the training data. Therefore, the data collection is an important and necessary step in building a ML classifier. This report describes the procedure used to collect arm gesture movement data using a Myo armband. The source code for this work is included as an Appendix.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2015
- Accession Number
- ADA622397
Entities
People
- Michael D Lee
- Nikhil Rao
Organizations
- United States Army Research Laboratory