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Brain-Computer Interface
for mobile devices
Master Thesis
Author: Piotr Wittchen
Supervisor: dr inż. Przemysław Szmal
Consultant: dr inż. Krzysztof Dobosz
SILESIAN UNIVERSITY OF TECHNOLOGY
DEPARTMENT OF AUTOMATIC CONTROL, ELECTRONICS AND COMPUTER SCIENCE
MACROFACULTY
Plan of the presentation
• Aim of the thesis
• Brain-Computer Interface
• Development tools and technologies
• Prototype applications
• Experiments
• Data analysis
• Summary and conclusions
27.06.2014 2Brain-Computer Interface for mobile devices
Aim of the thesis
The main goal of the work:
to develop a prototype user interface that allows
to control mobile devices using the signals
received by the MindWave Mobile Headset
recording electrical activity of the brain.
27.06.2014 3Brain-Computer Interface for mobile devices
Brain-Computer Interface
Brain-Computer Interface (BCI):
a direct communication pathway
between the brain and an external device.
BCIs are often directed at assisting, augmenting,
or repairing human cognitive or sensory-motor
functions.
27.06.2014 4Brain-Computer Interface for mobile devices
Development tools and technologies
• Hardware
– NeuroSky Mindwave Mobile Headset
– Mobile phone with Android OS
• Software
– Java and Android SDK
– ThinkGear library
– Android Studio IDE
27.06.2014 5Brain-Computer Interface for mobile devices
Prototype applications
Applications created during the work:
• EEG Analyzer
• EEG Controller
27.06.2014 6Brain-Computer Interface for mobile devices
Experiments
• EEG Analyzer: used to test connection between
BCI and mobile device as well as recording
brain activity in a defined time interval
• EEG Controller: used to test interaction
between user and devices in:
– Different scenarios
– Different time of the day
– Different software configuration
• Required attention level was changed several times
• Option switching method was changed several times
27.06.2014 7Brain-Computer Interface for mobile devices
Data analysis
• User can be focused and relaxed at the same
time
• User keeps focus at 50% or 60% of his
possibility during the day
• Required focus should be set to at least 70%,
but should not be too high (e.g. 95%)
• Tiredness of the user can influence
interaction, so he/she should be fresh
while using BCI for executing operations
27.06.2014 8Brain-Computer Interface for mobile devices
Summary and conclusions
• Interaction between BCI and mobile devices
is possible
• User can control mobile devices with activity of
his brain
• Interaction between BCI and mobile devices
has many limitations
• Interaction with BCI depends on external factors
like tiredness of the user and his specific ability
to keep focus
• Further investigations and research may improve
user experience and possibilites of BCI
27.06.2014 9Brain-Computer Interface for mobile devices
Thank you for attention
27.06.2014 10Brain-Computer Interface for mobile devices

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Brain-Computer interface for mobile devices - Master Thesis presentation

  • 1. Brain-Computer Interface for mobile devices Master Thesis Author: Piotr Wittchen Supervisor: dr inż. Przemysław Szmal Consultant: dr inż. Krzysztof Dobosz SILESIAN UNIVERSITY OF TECHNOLOGY DEPARTMENT OF AUTOMATIC CONTROL, ELECTRONICS AND COMPUTER SCIENCE MACROFACULTY
  • 2. Plan of the presentation • Aim of the thesis • Brain-Computer Interface • Development tools and technologies • Prototype applications • Experiments • Data analysis • Summary and conclusions 27.06.2014 2Brain-Computer Interface for mobile devices
  • 3. Aim of the thesis The main goal of the work: to develop a prototype user interface that allows to control mobile devices using the signals received by the MindWave Mobile Headset recording electrical activity of the brain. 27.06.2014 3Brain-Computer Interface for mobile devices
  • 4. Brain-Computer Interface Brain-Computer Interface (BCI): a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions. 27.06.2014 4Brain-Computer Interface for mobile devices
  • 5. Development tools and technologies • Hardware – NeuroSky Mindwave Mobile Headset – Mobile phone with Android OS • Software – Java and Android SDK – ThinkGear library – Android Studio IDE 27.06.2014 5Brain-Computer Interface for mobile devices
  • 6. Prototype applications Applications created during the work: • EEG Analyzer • EEG Controller 27.06.2014 6Brain-Computer Interface for mobile devices
  • 7. Experiments • EEG Analyzer: used to test connection between BCI and mobile device as well as recording brain activity in a defined time interval • EEG Controller: used to test interaction between user and devices in: – Different scenarios – Different time of the day – Different software configuration • Required attention level was changed several times • Option switching method was changed several times 27.06.2014 7Brain-Computer Interface for mobile devices
  • 8. Data analysis • User can be focused and relaxed at the same time • User keeps focus at 50% or 60% of his possibility during the day • Required focus should be set to at least 70%, but should not be too high (e.g. 95%) • Tiredness of the user can influence interaction, so he/she should be fresh while using BCI for executing operations 27.06.2014 8Brain-Computer Interface for mobile devices
  • 9. Summary and conclusions • Interaction between BCI and mobile devices is possible • User can control mobile devices with activity of his brain • Interaction between BCI and mobile devices has many limitations • Interaction with BCI depends on external factors like tiredness of the user and his specific ability to keep focus • Further investigations and research may improve user experience and possibilites of BCI 27.06.2014 9Brain-Computer Interface for mobile devices
  • 10. Thank you for attention 27.06.2014 10Brain-Computer Interface for mobile devices