Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/76967
Title: Brain-computer interface (BCI) game for mindfulness training
Authors: Goh, Shi Yong
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
DRNTU::Engineering::Computer science and engineering::Computer applications
Issue Date: 2019
Abstract: Mindfulness training has been known to provide individuals with a sense of overall well-being. This project aims to explore innovative ways to integrate EEG headbands to help people train mindfulness with non-invasive feedbacks. Experiments were designed and conducted to collect EEG data to build a classification model. The classification model was then used in the prediction of the mindfulness state of the players. The feedback generated helps to train the player’s mindfulness level by informing them when they are not being mindful and encourages them when they are on the right path. It helps to improve their mental and physical health. In this stressful world of constant brain power usage, mindfulness training is the perfect solution to help an individual relax and take care of their most important asset, the brain.
URI: http://hdl.handle.net/10356/76967
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
GohShiYong_U1622039A_FYP_Report.pdf
  Restricted Access
FYP Report2.38 MBAdobe PDFView/Open

Page view(s)

106
Updated on Jun 22, 2021

Download(s) 50

28
Updated on Jun 22, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.