Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54270
Title: EEG based brain signals pattern analysis (scent stimuli)
Authors: Li, Zhuolun.
Keywords: DRNTU::Engineering
Issue Date: 2013
Abstract: Human brain is the center of the nervous system which controls the other parts of the body. It runs every function in the human body including olfactory perception. Through electroencephalography (EEG), brain activities can be measured in terms of brain signals. In this project, EEG based brain signals subjected to scent stimuli were collected and analyzed. Two different scents, lavender and peppermint were used to provide scent stimuli and the experiments were conducted in a controlled environment in a specially designed laboratory. Twenty participants attended the experiments with each having two sessions in two different days. For each participant, the relaxing state and smelling state were both recorded for comparison and in each session, only one scent (lavender or peppermint) was used. The whole recorded segment for each session was then segmented manually to eliminate artifacts. The clean segments were then processed by MATLAB programs to generate results. Power for each band was used to extract features. Both similar and different features for lavender and peppermint were extracted and discussed.
URI: http://hdl.handle.net/10356/54270
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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