Thesis - Instituto de TelecomunicaÃ§Ãµes

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xviiiFCT Fundação para a Ciência e TecnologiaFLAD Luso-American Development FoundationfMRI functional Magnetic Resonance ImagingFRR False Rejection RateFTA Failure To AcceptFTE Failure To EnrolGUI Graphical User InterfaceHCI Human-Computer InteractionHMM Hidden Markov ModelIBIA International Biometric Industry AssociationIBI Inter Beat IntervalIIR Infinite Impulse ResponseINCITS International Committee for Information Technology StandardsINSTICC Institute for Systems and Technologies of Information, Control andCommunicationIPS Instituto Politécnico de SetúbalISBN International Standard Book NumberISO International Organization for StandardizationIT Instituto de TelecomunicaçõesK-NN K-Nearest-NeighborKDE Kernel Density EstimationLED Light-Emitting Diode
xixMAP Maximum a PosterioriMOBD Multiplication of Backward DifferencesMSE Mean Square ErrorNIST National Institute of Standards and TechnologyPDA Person Digital AssistantPDF Probability Density FunctionPET Positron Emission TomographyPIN Personal Identification NumberPRIP Pattern Recognition and Image Processing LabRAND Research ANd Development CorporationROC Receiver Operating CurveRSDE Reduced Set Density EstimationSCL Skin Conductance LevelSCR Skin Conductance ResponseSFS Sequential Forward SearchSSH Secure ShellTCRP Pattern Recognition and Communication Theory GroupTRR Total Rejection RatioURL Uniform Resource LocatorVEP Visual Evoked PotentialVNC Virtual Network ComputingWIDAM Web Interaction Display and Monitoring
Page 1: UNIVERSIDADE TÉCNICA DE LISBOAINST
Page 6 and 7: iior gave some support to the devel
Page 9: ResumoO comportamento humano tem si
Page 12 and 13: viii2.3.2 Voice . . . . . . . . . .
Page 14 and 15: x6.2.2 Feature Analysis . . . . . .
Page 16 and 17: xii4.2 The x-y representation of th
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Page 25 and 26: Chapter 1Introduction1.1 The Proble
Page 27 and 28: 1.1. THE PROBLEM 3Figure 1.2: ECG s
Page 29 and 30: 1.2. MOTIVATION 5authentication sit
Page 31 and 32: 1.3. CONTRIBUTIONS 7resource in the
Page 33 and 34: 1.4. THESIS STRUCTURE 9The present
Page 35 and 36: Chapter 2State of the ArtIn this ch
Page 37 and 38: 2.1. BIOMETRICS CONCEPTS 13to class
Page 39 and 40: 2.1. BIOMETRICS CONCEPTS 15by the s
Page 41 and 42: 2.2. BIOMETRICS TECHNOLOGIES 17Figu
Page 43 and 44: 2.3. BEHAVIORAL BIOMETRICS 19Septem
Page 45 and 46: 2.3. BEHAVIORAL BIOMETRICS 21and co
Page 47 and 48: 2.3. BEHAVIORAL BIOMETRICS 232. ove
Page 49 and 50: 2.3. BEHAVIORAL BIOMETRICS 25Figure
Page 51 and 52: 2.3. BEHAVIORAL BIOMETRICS 27situat
Page 53 and 54: 2.3. BEHAVIORAL BIOMETRICS 29of sig
Page 55 and 56: 2.4. MULTIMODAL BIOMETRICS 312.4 Mu
Page 57 and 58: 2.6. DISCUSSION AND CONCLUSION 33al
Page 59 and 60: Chapter 3Information Sources - HCI
Page 61 and 62: 3.2. HUMAN COMPUTER INTERACTION 37t
Page 63 and 64: 3.2. HUMAN COMPUTER INTERACTION 39I
Page 65 and 66: 3.2. HUMAN COMPUTER INTERACTION 41F
Page 67 and 68: 3.3. PHYSIOLOGICAL SIGNALS 43Histor
Page 69 and 70: 3.3. PHYSIOLOGICAL SIGNALS 45Figure
Page 71 and 72: 3.3. PHYSIOLOGICAL SIGNALS 47Term D
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3.3. PHYSIOLOGICAL SIGNALS 49Figure
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3.4. MATERIALS AND METHODS 51Figure
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3.4. MATERIALS AND METHODS 53had th
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3.6. CONCLUSION 59set of computatio
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Chapter 4Signal Processing andFeatu
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4.1. HUMAN-COMPUTER INTERACTION 63I
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4.1. HUMAN-COMPUTER INTERACTION 65T
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4.1. HUMAN-COMPUTER INTERACTION 674
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4.2. ELECTRODERMAL ACTIVITY 69To ex
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4.2. ELECTRODERMAL ACTIVITY 71(eq.
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4.2. ELECTRODERMAL ACTIVITY 73model
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4.2. ELECTRODERMAL ACTIVITY 75the p
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4.2. ELECTRODERMAL ACTIVITY 77t 3 =
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4.2. ELECTRODERMAL ACTIVITY 79The d
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4.2. ELECTRODERMAL ACTIVITY 81the e
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4.2. ELECTRODERMAL ACTIVITY 831.00.
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4.3. ELECTROCARDIOGRAM 8511.111.010
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4.3. ELECTROCARDIOGRAM 87to the car
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4.3. ELECTROCARDIOGRAM 89analyzing
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4.4. CONCLUSION 918. a T - The ampl
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Chapter 5Feature Selection andClass
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5.1. STATISTICAL MODELING 95Weibull
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5.2. USER TUNED FEATURE SELECTION 9
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5.2. USER TUNED FEATURE SELECTION 9
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5.3. SEQUENTIAL CLASSIFICATION 101p
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5.3. SEQUENTIAL CLASSIFICATION 103s
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5.3. SEQUENTIAL CLASSIFICATION 105n
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5.4. UNCERTAINTY BASED CLASSIFICATI
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5.5. CONCLUSIONS 113of behavioral d
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Chapter 6Applications and ResultsTh
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6.1. POINTER DYNAMICS BIOMETRICS 11
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6.1. POINTER DYNAMICS BIOMETRICS 11
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6.2. SYMPATHETIC DYNAMICS BIOMETRIC
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6.3. HEART DYNAMICS BIOMETRICS 1316
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6.3. HEART DYNAMICS BIOMETRICS 133F
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6.4. CONCLUSION 135time(s) EDA EER
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Chapter 7ConclusionsIn this chapter
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7.2. APPLICATION SCENARIOS 139adequ
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7.3. FUTURE WORK 141the user clicks
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Appendix AToolsThe work underlying
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A.2. SCIENTIFIC COMPUTATION 145side
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Appendix BTestsThe set of tests dev
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B.1. INTELLIGENCE TEST 149Figure B.
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B.2. MEMORY TEST 151# 2 3 3# 2 3 3#
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B.2. MEMORY TEST 153Level. In this
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B.3. ASSOCIATION TEST 155Guide. Ini
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B.5. CONCENTRATION TEST 157Descript
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B.5. CONCENTRATION TEST 159Test Gen
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B.6. TEST’S SEQUENCE 161Orderpage
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B.7. RELATED DOCUMENTS 163Figure B.
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Bibliography[1] A. Acharya, M. Cutt
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BIBLIOGRAPHY 171[18] B. Bimbaum. US
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BIBLIOGRAPHY 173[42] H. D. Critchle
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BIBLIOGRAPHY 175[63] R. Fernandez a
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BIBLIOGRAPHY 177[84] H. Gamboa, A.
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BIBLIOGRAPHY 179[102] S. Hocquet, J
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BIBLIOGRAPHY 181[124] R. M. Kaplan
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BIBLIOGRAPHY 183[145] C. L. Lim, E.
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BIBLIOGRAPHY 185[169] NBSP. Interna
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BIBLIOGRAPHY 187[191] T. Pixley. Do
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BIBLIOGRAPHY 189[214] T. Shen and W
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BIBLIOGRAPHY 191[236] M. Trauring.
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Thesis - Instituto de TelecomunicaÃ§Ãµes

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