Week 6 (11/02/2020)

The EEG Brain Mapping Initiative Capstone project was presented to Loyola Marymount University's (LMU) Frank R. Seaver College of Science and Engineering Electrical Engineering faculty. Although the team is passionate about the project, there were some key comments that were mentioned during the Questions section of the presentation.

• What frequency will be used? During data collection, the wearer will be awake. Therefore, the best brainwaves to collect are going to be Alpha, Beta, and Gamma. Alpha, Beta, and Gamma are located in 8 Hz to 12 Hz, 13 Hz to 38 Hz, and 39 Hz to 42 Hz, respectively.

• What emotion will be identified? For this Capstone Project ( 2020-2021), we do not expect to correlate an emotion directly. During tests, it will be challenging to correlate one person's emotions and think that another person will feel that emotion. For example, if Tyler wears the helmet and the test would be to have Tyler watch a comedic video, there are many variables that would be taken into account. The variables are how much thought or thinking Tyler had to perform to understand the material, and that the emotion Tyler is feeling at that moment does not necessarily mean when the test is performed on someone else that they would not understand the material at all. Therefore, for testing, the team is going to focus on collecting binary state data and determine if there is a crucial difference in the emotions the wearer says they are feeling and attempt to see if another wearer has similar results.

• Why 30 Electrodes? The team will not be using 30 electrodes. The 30 electrodes were included in the costs in order to illustrate the cost of purchasing more electrodes if required.

The purpose of this initiative is to go beyond what current non-invasive EEG technology can achieve.

The team met with Dr. Hossein Asghari to review the comments mentioned by the faculty, and how their questions could be addressed before the next meeting with the faculty.

THIS WEEK

Tyler

• Presented to LMU's Electrical Engineering faculty

• Finalized a few products which will be used (e.g., Electrodes)

• Worked on and finished the House of Quality and Analysis Framework

• Edited the final report

Mark

• Presented to LMU's Electrical Engineering faculty

• Started and edited the final report

• Reviewed GitHub EEG Deep Learning repositories. Currently testing: https://github.com/SuperBruceJia/EEG-DL
  

NEXT WEEK

Tyler

• Provide a list to Dr. Hossein Asghari to purchase some items

• Work on decision matrix

Mark

• Meet with Dr. Asghari to review which GitHub repositories and what were the results from each one

• Work on concept fan