Project Details


AI Repository Project

WSIS Prizes Contest 2022 Nominee

EEG based Attention Distraction Classification Using Mixed Reality and Deep Learning


Description

To this day, coronavirus disease 2019 (COVID-19) has not only greatly exacerbated health and financial problems, but has also been found to be associated with impaired performance on tasks that required attention. Attention is the behavioral and cognitive process of focusing on important information while ignoring other irrelevant. For a long time, researcher have been looking for an effective method to identify people's attention state. With the advent of Covid 19, research to identify a person's attention state has become even more important. In this project, the uses of Mixed Reality (MR), EEG headset, and Deep Learning have shown a promising performance in analyzing the attention distraction states. MR is the merging of real and virtual worlds to produce new immersive environments and visualizations. The MR-based applications are one of the top 10 ranked ICT technologies in 2020. Electroencephalogram (EEG) headset is a system that collect the brain activity during performing a task. Deep learning is a powerful tool that show a great promise in helping analyze the EEG signals due to its capacity to learn good feature representations from raw data. The goal of the project is to use the MR to create an immersive environment for the cognitive test (attention task and distraction task). The use of MR can successfully elicit the attention and distraction of the participant. The EEG headset will be used to capture the brain signals during the test. Finally, deep learning technique will be used to analyze EEG signals and classify the attention distraction states.

Project website

http://fet.mmu.edu.my/v6/


Images

Action lines related to this project
  • AL C7. E-learning
  • AL C7. E-health
  • AL C7. E-science 2022
Sustainable development goals related to this project
  • Goal 3: Good health and well-being
  • Goal 4: Quality education

Coverage
  • Melaka, Malaysia

Status

Completed

Start date

October 2020

End date

October 2022


Target beneficiary group(s)
  • Youth
  • Older persons
  • Women
  • People with disabilities

Replicability

There have two reasons why this project is replicable. First of all, this project does not required any special devices since Microsoft Hololens 2 (Mixed reality headset) and Emotiv Insight (Electroencephalogram headset) are commercial products. Secondly, EEG data analysis for attention states depends on the use of software programming, so it is replicable.


Sustainability

As the research of this project can cover all age groups. We believe that the use of mixed reality and EEG headsets can positively contribute to sustainable advancements in cognitive area.


WSIS values promotion

With the use of mixed reality headset, EEG headset and deep learning in the cognitive area, our project is able to give benefit to the education, technology, and healthcare sector. That is why gaining recognition by WSIS will allow these sectors to have information about WSIS and attract their interest in joining the WSIS competition in the future.


Entity name

Multimedia University (MMU)

Entity country—type

Malaysia Academia

Entity website

https://www.mmu.edu.my/programmes-by-faculty-all/programmes-by-faculty-fet/