Human-Computer Interface Technologies for the Motor Impaired
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Book Description
Human Computer Interface Technologies for the Motor Impaired examines both the technical and social aspects of human computer interface (HCI). Written by world-class academic experts committed to improving HCI technologies for people with disabilities, this all-inclusive book explores the latest research, and offers insight into the current limitations of this field. It introduces the concept of HCI, identifies and describes the fundamentals associated with a specific technology of HCI, and provides examples for each. It also lists and highlights the different modalities (video, speech, mechanical, myoelectric, electro-oculogram, and brain-waves) that are available, and discusses their relevant applications.
Easily and readily understood by researchers, engineers, clinicians, and the common layperson, the book describes a number of HCI technologies ranging from simple modification of the computer mouse and joystick to a brain–computer interface (BCI) that uses the electrical recording of the brain activity of the user. The text includes photographs or illustrations for each device, as well as references at the end of each chapter for further study.
In addition, this book:
- Describes the mechanical sensors that are used as an interface to control a computer or screen for the aged and disabled
- Discusses the BCI using brain waves recorded by noninvasive electrodes to recognize the command from the user
- Presents the myoelectric interface for controlling devices such as the prosthetic/robotic hand
- Explains the technology of tracking the eye gaze using video
- Provides the fundamentals of voice recognition technologies for computer and machine control applications
- Examines a secure and voiceless method for the recognition of speech-based commands using video of lip movement
Human Computer Interface Technologies for the Motor Impaired
considers possible applications, discusses limitations, and presents the current research taking place in the field of HCI. Dedicated to enhancing the lives of people living with disabilities, this book aids professionals in biomedical, electronics, and computer engineering, and serves as a resource for anyone interested in the developing applications of HCI.Table of Contents
Introduction
Abstract
Introduction: Human–computer interface for people with disabilities
Background
History
Future of HCI
Layout of the book
Reference
Human–computer interface: Mechanical sensors
Abstract
Introduction
Modified devices
Sensors
Applications of HCI based on mechanical sensors
Current research and future improvements
References
Brain–computer interface based on thought waves
Abstract
Introduction
History of brain–computer interface
Significance of BCI devices
BCI technology
System design
Signal analysis
BCI translation algorithms
User consideration
Applications of BCI
Limitations
Future research
Ethical consideration
References
Evoked potentials-based brain–computer interface
Abstract
Introduction
Brain–computer interface (BCI) systems based on steady-state visual evoke potential
Design challenges and limitations
Results
User benefits and improvements
References
Myoelectric-based hand gesture recognition for human–computer interface applications
Abstract
Introduction
Background
Current technologies and implementation
References
Video-based hand movement for human–computer interface
Abstract
Introduction
Background
Data analysis
Discussion
User requirements
User benefits
Shortcomings
Future developments
References
Human–computer interface based on electrooculography
Abstract
Introduction
Background
Current technologies: Historical to state of the art
Example of EOG-based system
Results
Discussion
Limitations of the study
Discussion: User benefits and limitations
References
Further reading
Video-based eye tracking
Abstract
Introduction
Background and history
An example eye-tracking method
Data analysis
Results
Discussion: User benefits and limitations
References
Speech for controlling computers
Abstract
Introduction
History of speech-based machine commands
Automatic speech recognition (ASR)
Speech denoising methods
Speech analysis fundamentals
Subsections of speech: Phonemes
How people speak: Speech production model
Place principle hearing model
Features selection for speech analysis
Speech feature classification
Artificial neural networks
Limitations in current systems
References
Lip movement for human–computer interface
Abstract
Introduction: History and applications
Current technologies
User requirements
Example of voiceless speech recognition systems
Discussion: User benefits
Summary
References
Author(s)
Biography
Dinesh K. Kumar received a B.Tech from IIT Madras, and a Ph.D in biomedical engineering from IIT Delhi and AIIMS, Delhi. He is a professor and leader of biomedical engineering at RMIT University, Melbourne, Australia. Dr. Kumar has published more than 330 refereed papers in the field, and his interests include muscle control, affordable diagnostics, and human–computer interface. He is editor of multiple journals, chairs a range of conferences related to biomedical engineering, and enjoys walking in nature in his spare time.
Sridhar Poosapadi Arjunan received a B.Eng in electronics and communication from the University of Madras, India; a M.Eng in communication systems from Madurai Kamaraj University, India; and a Ph.D in biomedical signal processing from RMIT University, Australia. He is currently a postdoctoral research fellow with Biosignals Lab at RMIT University. Dr. Poosapadi Arjunan is a recipient of the RMIT SECE Research Scholarship, CASS Australian Early Career Researcher Grant, and the Australia-India ECR Fellowship. His major research interests include biomedical signal processing, rehabilitation study, fractal theory, and human–computer interface applications.