Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158175
Title: Design a smart control system using brainwave signals extracted from myndplay brainband to detect stress
Authors: Lee, Zi Min
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Lee, Z. M. (2022). Design a smart control system using brainwave signals extracted from myndplay brainband to detect stress. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158175
Project: A2270-211
Abstract: Due to Covid-19 pandemics over the past few years, schools are closed and classes are conducted online, companies force their employee to work from home due to government Covid-19 policy. Therefore many people are stuck at home doing their work or studying facing the four walls of their home or bedroom. They have a lesser chance to head out to exercise, interact with people or even enjoy a meal with their close ones. People start to not take care of themselves and neglect their mental wellbeing. As a result mental well-being declines and stress increases. Hence a proposal of designing a smart control system using brainwave signals extracted from Myndplay's brainband to detect stress will help people to be more aware of their own stress and mental wellbeing. At the same time, they will be more aware of taking action to counter their stress and this will help them improve their quality of life.
URI: https://hdl.handle.net/10356/158175
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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