Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148911
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dc.contributor.authorFang, Ziyingen_US
dc.date.accessioned2021-05-20T13:11:59Z-
dc.date.available2021-05-20T13:11:59Z-
dc.date.issued2021-
dc.identifier.citationFang, Z. (2021). Movement detection by brainwave : cloud computing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148911en_US
dc.identifier.urihttps://hdl.handle.net/10356/148911-
dc.description.abstractThis final year project aims to develop a low-cost wearable system that can detect the movement intention of the user using single-channel electroencephalography (EEG). The EEG sensor records EEG raw data in real-time from the user and communicates with the computer to analyze the changes in brain activities. The python program performs raw data extraction, signal processing, and data analysis in real-time. The classifier will identify the extracted feature via a pre-trained model utilizing a machine learning approach while another classification method is introduced to overcome the limitations of the machine learning approach in this project. The detection result of movement intention will be feedbacked to the user with a build-in alert feature to acknowledge the user when movement intention is detected. This design aims to provide a low-cost movement detection healthcare system for assisting the elderly/home-alone. In this study, repeated experiments with different sets of hardware were recorded to ensure the reliability of the data collected, to explore the correlation between EEG signal and lower-limb muscle activities, and to validate the feature extracted. The result of this prototype suggests that a single-channel EEG signal can be used to measure the movement intention of the user and provide feedback before the onset of the movement.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA2272-201en_US
dc.subjectEngineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleMovement detection by brainwave : cloud computingen_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
dc.contributor.supervisoremailEYHLAM@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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