Human Vision Inference from Brainwaves Research Project

Human Vision Inference from Brainwaves Research Project, ESC Group

Technology
Python, PyTorch, MNE Library

Timeline
September 2022 – May 2023

Role
Research Assistant

Location
ESC Group, University at Buffalo, Buffalo, New York, USA

**UB’s Celebration of Student Academic Excellence Showcase 2023 Poster**
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(Click here to see PDF) (Click here to see UB Website Blob)

Credential Verified by University at Buffalo (see certification)

In my research, mentored by Wenyao Xu, I investigated the use of brainwaves to infer visual information through machine learning, aiming to advance brain-computer interfaces. My focus was on classifying visual data based on brainwave analysis.

I pre-processed the EEG data and applied ICA for artifact removal utilizing the MNE library in Python.

Developed a VGG Convolutional Neural Network (CNN) with PyTorch to exploit EEG data’s spatial nature, achieving 95% classification accuracy and an F1 score of 0.97.

I presented my findings at UB’s Celebration of Student Academic Excellence Showcase in 2023! (Click here to see PDF) (Click here to see UB Website Blob).