Through the theoretical adaptation of biometric technologies to people of variable abilities



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ENHANCING ASSISTIVE TECHNOLOGIES:

THROUGH THE THEORETICAL ADAPTATION OF

BIOMETRIC TECHNOLOGIES TO PEOPLE OF VARIABLE ABILITIES

A Dissertation

Presented to the

Faculty of the

School of Business

Kennedy-Western University


In Partial Fulfillment

of the Requirements for the Degree of

Doctor of Philosophy in

Management Information Systems

by

William J. Lawson, Ph.D.



Tampa, Florida


© 2003
William J. Lawson


All Rights Reserved

Dedication

This dissertation is dedicated to my Grandmother, Charity Lawson who passed away September 14, 2000. Following a short illness her life was taken away unexpectedly. After our biological mother left when I was 2 years old and my brother Tim was only 3 months old Grandma became the mother to Tim and I.

My Grandma had been a constant source of inspiration and encouragement in my life. Grandma was born August 25, 1918 near Chicago, Illinois to Romanian Immigrates (Gypsies). She spent most of her childhood traveling with her parents as a fortuneteller in a circus.

If you asked me to tell you what about my Grandmother stood out, I would have to say that she was an extremely proud woman. She held her head high and kept great faith through the many trials and tribulations throughout her life. I would also tell you that I remember her explaining the “Golden Rule” to me when I was 6 years old and I will never forget, she said that it meant to “Do onto others as you wish done onto you”. I am so very proud of my Grandmother - a woman endued with courage, strength, and the will to fight. I am fortunate to have not only loved her, but to have been loved by her. What a gift she gave me, for as I write this dedication a tear rolls down my cheek.

I love and miss you Grandma…

Acknowledgements

Without question my family have felt the pain and joy of this project, and I thank them for their love, support and endurance of many unique hardships.

This project could not have happened without the enthusiasm and guidance of so many others. It would be impossible to list the names of all of those that have encouraged me in the adaptation of biometrics as an assistive technology. I would therefore, like to pay homage to the insightfulness and courage of the one individual whom opened my eyes to the assistive possibilities of biometric. That person is Michael Burks, Public Relations Officer of the International Center for Disability Research on the Internet. Thank you, Michael...

Finally, a thank you to AT&T (my financial sponsor) for their decision to support this project came from their individual leadership. They are leaders whom recognize the value and importance of this study to business and society.

Table of Contents

Page

List of Tables xiii

List of Figures xiv

List of Images xv

List of Charts xvii

Abstract of Dissertation xviii

Chapter 1. Introduction 1-35

Proclamation of Problem 1

Foundation of the Study 5



Significance of the Study 6

Scope of the Study 7

Rational of the Study 7

Glossary of Terms 8

Overview of the Study 34

Chapter 2. Review of Related Literature 36-52

Mainstream Biometric Technologies 37

Emerging Biometric Technologies 37

Radio Frequency Identification (RFID) 39

Smart Card Technologies 40

Page

Assistive Technologies 42

Cultural Barrier (Disabled & Elderly) 43

Universal Design 45

Adaptation to People of Variable Abilities 45

Privacy/Legal Issues 46

Security Issues 47

Disability Demographics 49

Electronic News Sources 50

Study Associated Standards 50

Summarization of Related Literature 51

Chapter 3. Applied Research Methodologies 53-68

Data Gathering Methods 54

Historical Documentation 55

Quantitative Research Tools 56

Web-Based Surveys 57

One-on-One Interviews 58

Qualitative Research Tools 60

Symposiums 60

Teleconferences 63

Page

Technical Committees 63

Electronic Mail Exchanges 64

Communication Participants 65

Database of Study 65

Accuracy, Reliability, Validity of Data 65

Originality and Limitation of Data 67

Methodological Summary 67

Chapter 4. Analysis of Data 69-186

What is a Biometric 70

Contrasting Authentication Methods 71



Contact Biometric Technologies 73

Fingerprint Identification 74

Palm Print and Footprint Identification 77

Hand Geometry 79

Dynamic Keystroke Authentication 80

Dynamic Signature Recognition 82



Contactless Biometric Technologies 83

Facial Geometry 84

Facial Thermography 85

Page

Iris Scan Recognition 86

Retina Scan Recognition 89

Voiceprint Verification 90



Accuracy 91

Liveness Test 92

Advantages 93

Disadvantages 94

Existing Standards 95

Emerging Biometric Technologies 96

Brainwave Biometric 97

DNA Identification 98

Vascular Pattern Recognition 99

Body Odor Recognition 102

Fingernail Bed Recognition 103

Gait Recognition 103

Handgrip Recognition 104

Ear Pattern Recognition 105

Body Salinity Identification 106

Infra-Red Fingertip Imaging & Pattern Recognition 107

Page

Storage Methodologies 108

Client-Server Architecture 109

Distributed Architecture 109

Radio Frequency Identification (RFID) 110

Smart Card Technologies 111

Hybrid Architecture 114

Existing Standards 115

Disability Statistics 118

Privacy/Legal Issues 121

Civil Rights 122

Individual Anonymity 123

Biometric Technologies 124



Storage Methodologies 125

Private Institutions 127

Government Facilities 128

Public Places 128

Misuse of Personal Data 129

Profiling (Big Brother Watching) 136


Page

Security Issues 138

Biometrics Technologies 139

Storage Methodologies 139

Assistive Technologies 142

Existing Standards 142

Cultural Barriers/Perceptions 145

The Elderly (Aging) Paradigm 146

Old Disability Paradigm 146

New Disability Paradigm 147



Ability Sequestration of Society 157

Biometrics Technologies 158



Biometric Technology Markets 159

Law Enforcement 160

Government Sector 161

Travel and Immigration 162

Corporate Sector 164

Financial Sector 166

Healthcare Sector 167


Page

Adaptation to People of Variable Abilities 168

Reasonable Accommodation 168

Smart Card Interface 169

Control 171

Universal Design 171

Fused Biometric Solution 176

Exoskeleton 179

Implementation Strategies 181

Risk Assessment Methodology (RAM) 183

Integration Concerns 184

Enrollment/Administration Practices 185

Training/Education 185

Alternative Authentication Methods 186

Auditing 187

Accountability 187

Oversight 187

Chapter 5. Summary, Recommendations and Conclusions 188-xxx

Mainstream Biometric Technology Summary 188

Emerging Biometric Technology Summary 189

Page

Summary of Cultural Barriers 189

Assistive Technology Summary 193

Universal Design Summary 195

Recommendations for Universal Standard 195

Recommendations for Adaptation of Biometrics 196

Recommendations for Storage Methodologies 197

Recommendations for Fused Biometric Solutions 198

Conclusions 201

References 203-214

Appendices

Appendix 1: To Be Or Not To Be? (Survey Introduction) A-1

Appendix 2: Online Survey: Use of Biometrics and Neural Implants A-2

Appendix 3: One-on-One Interview Questionnaire A-3

Appendix 4: Final Result Matrix: Online Survey - Per Question Breakdown A-4

Appendix 5: Fused Result: Online Survey – By Agreement Levels A-5

Appendix 6: Aggregated Results of One-on-One Interview Questions A-6


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