EMG Rock Paper Scissors Classifier

• Machine learning concepts and techniques

• How to work on a larger more complex software project

• Troubleshooting process needed to get a working demo

• Link to GitHub Repo

• Link to Team Report

In my class, Neurotechnologies: Brains and Machines, the culminating project consisted of developing a machine learning pipeline to detect whether a user had thrown rock, paper, or scissors using EMG data collected from a arm band.  Electomyography (EMG) is a techniques that detects electrical signals from motor neurons firing.  These small signals were able to be picked up by the Pisson armbands, amplified and filtered, and then used to build a model which could differentiate between the three gestures.  I took the project one step further and connected these predictions to a robot hand that embodied the machine learning model and would in theory always beat the person it played since it knew already what had been thrown!  I really enjoyed the project, and learned a bunch about machine learning and associated concepts.