Human-Computer Interface Technologies for the Motor Impaired: 1st Edition (Hardback) book cover

Human-Computer Interface Technologies for the Motor Impaired

1st Edition

By Dinesh K. Kumar, Sridhar Poosapadi Arjunan

CRC Press

186 pages | 50 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781482262667
pub: 2015-10-20
SAVE ~$19.59
$97.95
$78.36
x
eBook (VitalSource) : 9780429159596
pub: 2015-10-22
from $48.98


FREE Standard Shipping!

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

About the Authors

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.

About the Series

Rehabilitation Science in Practice Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COM079010
COMPUTERS / Social Aspects / Human-Computer Interaction
MED009000
MEDICAL / Biotechnology
MED073000
MEDICAL / Physical Medicine & Rehabilitation
TEC059000
TECHNOLOGY & ENGINEERING / Biomedical