Integrate VR with AI, oculomotor and EEG on the mild traumatic brain injury

Project Details


Athlete in the United States have very high incidence of mild traumatic brain injury (mTBI). However, there are lots of questions about the traditional measurements of pediatric mTBI. It’s difficult to detect, and its key information may be easily ignored or become too subjective.This study will measure the eye movements data by using VR mission and VR equipment. We use the one-way univariate analyses of variance examined the differences in performance on different age, gender and TBI severity between participants with mTBI and controls. We not only check their effects of saccades, smooth pursuit, fixations and reaction time, but also make sure that four data can represent a biomarker for differentiating patients with mTBI or not.In addition, the analysis technology of electroencephalography (EEG) is used in this project, and the visual method in the VR environment is applied to generate non-invasive, visual stimulation to the experimenter to collect the response of the human brain. This technology is called Visual Evoked Potential (VEP) , which is to analyze the brain waves generated by the stimulus, compare and analyze the brain waves of ordinary people, and even combine artificial intelligence methods and eye movement values to detect mTBI.
Effective start/end date1/08/2131/07/22

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


  • AI
  • VR
  • EEG
  • mTBI
  • VEP


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.