Signal Processing to Drive Human-Computer Interaction - Eeg and Eye-Controlled Interfaces

In this book, the contributors show how brain-signal processing can be used to drive a human-computer interface (HCI) using processing results from a single modality or a combination. They present concrete usage scenarios and applications in multimedia interfaces, drawing on a wide range of examples covering communications and healthcare.

List of contents

• Chapter 1: Introduction


• Part I: Reviewing existing literature on the benefits of BCIs, studying the computer use requirements and modeling the (dis)abilities of people with motor impairment
  
  
  • Chapter 2: The added value of EEG-based BCIs for communication and rehabilitation of people with motor impairment
  
  
  • Chapter 3: Brain-computer interfaces in a home environment for patients with motor impairment - the MAMEM use case
  
  
  • Chapter 4: Persuasive design principles and user models for people with motor disabilities
  
  
  
  
  
• Part II: Algorithms and interfaces for interaction control through eyes and mind
  
  
  • Chapter 5: Eye tracking for interaction: adapting multimedia interfaces
  
  
  • Chapter 6: Eye tracking for interaction: evaluation methods
  
  
  • Chapter 7: Machine-learning techniques for EEG data
  
  
  • Chapter 8: BCIs using steady-state visual-evoked potentials
  
  
  • Chapter 9: BCIs using motor imagery and sensorimotor rhythms
  
  
  • Chapter 10: Graph signal processing analysis of NIRS signals for brain-computer interfaces
  
  
  
  
  
• Part III: Multimodal prototype interfaces that can be operated through eyes and mind
  
  
  • Chapter 11: Error-aware BCIs
  
  
  • Chapter 12: Multimodal BCIs - the hands-free Tetris paradigm
  
  
  • Chapter 13: Conclusions
  
  
  
  
  
  
  

Product details

• Assisted by: Ioannis Kompatsiaris (Editor), Ioannis (Senior Researcher Kompatsiaris (Editor), Chandan Kumar (Editor), Chandan (Post-Doctoral Researcher Kumar (Editor), Spiros Nikolopoulos (Editor), Spiros (Senior Researcher Nikolopoulos (Editor)
• Publisher: Institution of Engineering & Technology
• Languages: English
• Product format: Hardback
• Released: 31.07.2020
• EAN: 9781785619199
• ISBN: 978-1-78561-919-9
• No. of pages: 312
• Dimensions: 160 mm x 239 mm x 20 mm
• Weight: 635 g
• Series: Control, Robotics and Sensors; Healthcare Technologies
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering