EMG Sensor Based Finger Movement Detection

In this article, we introduce our pilot research on finger movement detection based on the data collected by the Electromyography (EMG) sensor that is placed on the forearm to sense the muscle movements. The EMG sensor is battery powered and connects to the smartphone app through Bluetooth. The size of the EMG sensor is similar to a regular adhesive bandage for minor wound care. As it can be easily covered by sleeve, if we can successfully use them to accurately detect each individual finger movement, there will be many interesting applications such as playing a visual music instrument. We studied a machine learning model for processing the unfiltered EMG signals generated by the muscle movement when we move each individual finger. The current average accuracy of five finger movement detection is about 87%.