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Emotiv EPOC
Headset
Points Covered
• What is Emotive EPOC Headset?
• Device Items
• Device Installation (Hardware &
Software)
• Device Capabilities
• Device Applications
Emotiv Systems
• Emotiv systems develop brain computer interaction (BCI)
technologies to emulate human actions.
EPOC - Insight Comparison
• Both are input devices that works as the interface between
computer and brain.
Design Goal
Sensors
Cost
Design Goal
Designed for end user
applications
Designed for research
Sensors
5 Sensors 16 Sensors
Cost
299$ 399$
Device Items
16 Sensor Pack
USB Transceiver
Battery Recharger
Headset
Saline Solution
Device Installation
Hardware Installation
Software Installation
Device Items
Software
Emotiv Control Panel
Device Capabilities
Built-in
Advanced
Inertial Sensor
Facial Expressions
Smile Laugh
Brow
Raise
Wink
EEG Signals
Excitement Interest
Relaxation Stress
Focus
Device Applications
Application 1
Application 2
Application 3
Device Research Papers
• Khushaba, Rami N., et al. "Consumer neuroscience: Assessing the
brain response to marketing stimuli using electroencephalogram
(EEG) and eye tracking." Expert Systems with Applications 40.9
(2013): 3803-3812. Elsevier
• Kim, Byung Hyung, Minho Kim, and Sungho Jo. "Quadcopter flight
control using a low-cost hybrid interface with EEG-based
classification and eye tracking." Computers in biology and medicine
51 (2014): 82-92. Elsevier
• Coyle, Damien, et al. "Guest Editorial: Brain/neuronal-Computer
game interfaces and interaction." Computational Intelligence and AI
in Games, IEEE Transactions on 5.2 (2013): 77-81.
• Todd, D. A., et al. "Investigating the use of brain-computer
interaction to facilitate creativity." Proceedings of the 3rd Augmented
Human International Conference. ACM, 2012.
• Cecotti, Hubert. "Spelling with non-invasive Brain–Computer
Interfaces–Current and future trends." Journal of Physiology-Paris
105.1 (2011): 106-114.
Device Research Papers
• Khushaba, Rami N., et al. "Consumer neuroscience: Assessing the
brain response to marketing stimuli using electroencephalogram
(EEG) and eye tracking." Expert Systems with Applications 40.9
(2013): 3803-3812.
• Kim, Byung Hyung, Minho Kim, and Sungho Jo. "Quadcopter flight
control using a low-cost hybrid interface with EEG-based
classification and eye tracking." Computers in biology and medicine
51 (2014): 82-92.
• Coyle, Damien, et al. "Guest Editorial: Brain/neuronal-Computer
game interfaces and interaction." Computational Intelligence and AI
in Games, IEEE Transactions on 5.2 (2013): 77-81.
• Todd, D. A., et al. "Investigating the use of brain-computer
interaction to facilitate creativity." Proceedings of the 3rd Augmented
Human International Conference. ACM, 2012.
• Cecotti, Hubert. "Spelling with non-invasive Brain–Computer
Interfaces–Current and future trends." Journal of Physiology-Paris
105.1 (2011): 106-114.
Consumer neuroscience: Assessing the
brain response to marketing stimuli
using electroencephalogram (EEG)
and eye tracking
• Paper presents an application of how to
optimize products presentation to be
compatible with human brain.
• It finds the physiological decisions customers
take when buying a new product, use these
decisions to present products in a more
attractive way for customers.
Consumer Neuroscience
• An emerging field that combines psychology,
neuroscience, and economics to study how
the brain is physiologically affected by
advertising and marketing strategies.
Neuromarketing
• Human brain activity can provide marketers
with information not obtainable via
conventional marketing research methods
(interviews, questionnaires).
• Humans can`t fully explain their preferences
when explicitly asked
Electroencephalogram (EEG)
• Human brain signal and its main spectral
bands of Delta, Theta, Alpha, Beta, and
Gamma are used to examine customer
response to products advertising.
Neuromarketing Goals
1. Detect the small changes in commercial stimuli
that may prove to have substantial impacts on
marketing efficacy.
2. Explain how changes in the presentation of
marketing information affect the ways in which
the brain reacts.

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Emotiv EPOC EEG Headset

  • 2. Points Covered • What is Emotive EPOC Headset? • Device Items • Device Installation (Hardware & Software) • Device Capabilities • Device Applications
  • 3. Emotiv Systems • Emotiv systems develop brain computer interaction (BCI) technologies to emulate human actions.
  • 4. EPOC - Insight Comparison • Both are input devices that works as the interface between computer and brain. Design Goal Sensors Cost
  • 5. Design Goal Designed for end user applications Designed for research
  • 8. Device Items 16 Sensor Pack USB Transceiver Battery Recharger Headset Saline Solution
  • 16. Device Research Papers • Khushaba, Rami N., et al. "Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking." Expert Systems with Applications 40.9 (2013): 3803-3812. Elsevier • Kim, Byung Hyung, Minho Kim, and Sungho Jo. "Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking." Computers in biology and medicine 51 (2014): 82-92. Elsevier • Coyle, Damien, et al. "Guest Editorial: Brain/neuronal-Computer game interfaces and interaction." Computational Intelligence and AI in Games, IEEE Transactions on 5.2 (2013): 77-81. • Todd, D. A., et al. "Investigating the use of brain-computer interaction to facilitate creativity." Proceedings of the 3rd Augmented Human International Conference. ACM, 2012. • Cecotti, Hubert. "Spelling with non-invasive Brain–Computer Interfaces–Current and future trends." Journal of Physiology-Paris 105.1 (2011): 106-114.
  • 17. Device Research Papers • Khushaba, Rami N., et al. "Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking." Expert Systems with Applications 40.9 (2013): 3803-3812. • Kim, Byung Hyung, Minho Kim, and Sungho Jo. "Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking." Computers in biology and medicine 51 (2014): 82-92. • Coyle, Damien, et al. "Guest Editorial: Brain/neuronal-Computer game interfaces and interaction." Computational Intelligence and AI in Games, IEEE Transactions on 5.2 (2013): 77-81. • Todd, D. A., et al. "Investigating the use of brain-computer interaction to facilitate creativity." Proceedings of the 3rd Augmented Human International Conference. ACM, 2012. • Cecotti, Hubert. "Spelling with non-invasive Brain–Computer Interfaces–Current and future trends." Journal of Physiology-Paris 105.1 (2011): 106-114.
  • 18. Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking • Paper presents an application of how to optimize products presentation to be compatible with human brain. • It finds the physiological decisions customers take when buying a new product, use these decisions to present products in a more attractive way for customers.
  • 19. Consumer Neuroscience • An emerging field that combines psychology, neuroscience, and economics to study how the brain is physiologically affected by advertising and marketing strategies.
  • 20. Neuromarketing • Human brain activity can provide marketers with information not obtainable via conventional marketing research methods (interviews, questionnaires). • Humans can`t fully explain their preferences when explicitly asked
  • 21. Electroencephalogram (EEG) • Human brain signal and its main spectral bands of Delta, Theta, Alpha, Beta, and Gamma are used to examine customer response to products advertising.
  • 22. Neuromarketing Goals 1. Detect the small changes in commercial stimuli that may prove to have substantial impacts on marketing efficacy. 2. Explain how changes in the presentation of marketing information affect the ways in which the brain reacts.