Sharing AI Data through the IEEE DataPort 

Electromyography (EMG) of the Extraocular Muscles (EOM)

By: Victor Asanza, Escuela Superior Politécnica del Litoral, ESPOL

In my dataset, I gathered EMG signals or ocular myoelectric activity during eye movements via four electrode sensors. The study collected data from ten subject who performed pseudo-random repetitions of common eye movements:

  • Up
  • Down
  • Right
  • Left
  • Straight ahead (no movement)
  • Blinking

The purpose of this project is to create a visual writing interface for people who suffer from complete mobility impairment, controlled via eye movement. This data can also be used to test artificial intelligence (AI) algorithms.

Benefits of Using the IEEE DataPort Platform

In addition to the vast amounts of datasets available for free access to members, IEEE DataPort provides an instant and unique digital object identifier (DOI). This DOI provides a permanent and an actionable source of truth for my data, making it easy for any researcher to find. I have several datasets hosted on IEEE DataPort. You can see them here