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Automatic Control of a Window Blind using EEG signals
Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis uses one of Brain Computer Interface (BCI) products, NeuroSky headset, to design a prototype model to control window blind by using headset’s single channel electrode. Seven volunteers performed eight different exercises while the signal from the headset was recorded. The dataset was analyzed, and exercises with strongest power spectral density (PSD) were chosen to continue to work with. Matlabs spectrogram function was used to divide the signal in time segments, which were 0.25 seconds. One segment from each of these eight exercises was taken to form different combinations which were later classified.The classification result, while using two of proposed exercises (tasks) was successful with 97.0% accuracy computed by Nearest Neighbor classifier. Still, we continued to investigate if we could use three or four thoughts to create three or four commands. The result presented lower classification accuracy when using either 3 or 4 command thoughts with performance accuracy of 92% and 76% respectively.Thus, two or three exercises can be used for constructing two or three different commands.

Place, publisher, year, edition, pages
2018. , p. 53
Keywords [en]
NeuroSky, EEG signal processing, Extract Features, Classification, ThinkGear library, BCI
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hkr:diva-19184OAI: oai:DiVA.org:hkr-19184DiVA, id: diva2:1297135
Educational program
Master Programme with specialization in Embedded Systems
Supervisors
Examiners
Available from: 2019-03-20 Created: 2019-03-19 Last updated: 2019-03-20Bibliographically approved

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Teljega, Marijana
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf