Emotiv EPOC EEG Headset
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The document discusses the Emotiv Epoc headset, detailing its features, installation procedures, and various applications in brain-computer interaction (BCI) technologies. It highlights the headset's capabilities to interpret EEG signals and facial expressions for both consumer neuroscience and research purposes. Additionally, it references several research papers that examine the intersection of neuroscience and marketing strategies.
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
- 6. Sensors 5 Sensors 16 Sensors
- 8. Device Items 16 Sensor Pack USB Transceiver Battery Recharger Headset Saline Solution
- 9. Device Installation Hardware Installation Software Installation
- 10. Device Items Software Emotiv Control Panel
- 12. Inertial Sensor
- 14. EEG Signals Excitement Interest Relaxation Stress Focus
- 15. Device Applications Application 1 Application 2 Application 3
- 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.