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dc.contributor.authorLee, Zi Minen_US
dc.identifier.citationLee, 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.
dc.description.abstractDue 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.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleDesign a smart control system using brainwave signals extracted from myndplay brainband to detect stressen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYvonne Lam Ying Hungen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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