AlphaTrainer
an Android based neurofeedback system using low-cost consumer Brain-Computer Interface

Preamble

• Abstract
• Acknowledgements
• Dedication

Table of Contents

• 1 Introduction
  • 1.1 Neurofeedback, stress and brain-computer interfaces
  • 1.2 Hypothesis
  • 1.3 Method
  • 1.4 Thesis overview
  • 1.5 Limitations
• 2 Background
  • 2.1 BCI / EEG
  • 2.2 Consumer BCIs
  • 2.3 Neurofeedback
  • 2.4 Related works
  • 2.5 Sum up of background and related systems
• 3 Evaluation of 3 consumer BCIs
  • 3.1 Pre-study
  • 3.2 Experiment design
  • 3.3 Choice of BCI
• 4 Design
  • 4.1 Design model and method
  • 4.2 Design process
  • 4.3 AlphaTrainer
• 5 Implementation
  • 5.1 Signal processing library
  • 5.2 Android app
  • 5.3 Cloud based storage
  • 5.4 Summary
• 6 User evaluation
  • 6.1 Method
  • 6.2 Participants
  • 6.3 Result
• 7 Conclusion
  • 7.1 Future work

• Emotiv EPOC TestBench
• TrueSense Kit console
• Experiment - signal processing
  • Run analysis
    • Download code
    • Prerequests
    • Load and run
• MindWave forum posts
• Design - personas
  • 4 personas
    • Morten
    • Niels
    • Olivia
    • Peter
• Design - storyboards
• Software
  • AlphaTrainer signal processing library
    • Prerequests
    • Load and run
  • AlphaTrainer Android App
    • Quick
    • Build from scratch
  • AlphaTrainerService
    • Mongolab cloud storage
    • AlphaTrainerService client
• User evaluation
  • Hand out
  • Ordered baseline recordings
• Bibliography

License

This work is licensed under a Creative Commons Attribution 3.0 United States License.