Using EEG to improve study efficiency

• Main Author: Zhang, Zizhao
• Other Authors: Yvonne Lam Ying Hung
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149698
• Institution: Nanyang Technological University

Study is a life-long journey. It is good to develop a habit of studying. However, people may not be able to always stay focused when they are studying. Also, it is not recommended to study when one is too focused or too relaxed. Moreover, seldom do people record their study history because they feel it too troublesome. Hence, for good efficiency it is necessary for people to find their best period of study during the day and form a good habit of study. The objective of this project is to develop an APP to give appropriate recommendations to user in order to improve the learning efficiency based on EEG signal input obtained from “Brainlink Lite 2.0”. In details, first, extracting raw EEG signal from device to computer via Bluetooth communication, and then analyzing data to interpret users’ focus/relax level, next generating algorithm to represent users’ study efficiency. In the end, implementing the APP to display real-time information.