Brain Technology in Augmented Cognition
eBook - ePub

Brain Technology in Augmented Cognition

Current and Future Trends

  1. 128 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Brain Technology in Augmented Cognition

Current and Future Trends

About this book

Brain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current state of augmented cognition. Its scope includes recent advances in electroencephalography (EEG), neural network, and brain-computer interface (BCI) brain technologies.

The title explores in detail each technological approach to augmented cognition and offers conclusions to them, summarizing the work and their respective futures. Augmented cognition research often includes the use of brain technology, and this book addresses advances in augmented cognition and its applications. It details recent uses of EEG, neural networks, and BCI in the field and how they may augment user, researcher, and practitioner cognition. Focusing on the use of EEG for eye-tracking, neural network logic, and the BCI application of motor-imagery (MI) and discussing challenges and opportunities relevant to such applications, the title is a useful introduction to the subject matter.

This is an engaging read for any student, researcher or academic in the fields of engineering, augmented cognition, human-computer interaction and human factors/ergonomics who will learn the basics and key concepts of augmented cognition through this simple and straightforward title.

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Yes, you can access Brain Technology in Augmented Cognition by Suraj Sood in PDF and/or ePUB format, as well as other popular books in Computer Science & UI/UX Design. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
eBook ISBN
9781040261842
Edition
0

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. About the Author
  9. Acknowledgments
  10. Introduction
  11. 1 How Can Brain Technology Augment Cognition?
  12. 2 Electroence­phalography (EEG)
  13. 3 Neural Network (NN)
  14. 4 Brain–Computer Interface (BCI)
  15. 5 Exploring a Combinatory Approach
  16. Conclusion
  17. Glossary
  18. Index