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|a Abhang, Priyanka A.,
|e author.
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|a Introduction to EEG- and speech-based emotion recognition /
|c Priyanka A. Abhang, Bharti W. Gawali, Suresh C. Mehrotra.
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|a Amsterdam :
|b Academic Press is an imprint of Elsevier,
|c [2016]
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|c �2016
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|a 1 online resource
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|a text
|b txt
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|a computer
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|a online resource
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|a Online resource; title from PDF title page (EBSCO, viewed March 31, 2016).
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|a Includes bibliographical references at the end of each chapters and index.
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|a Front Cover -- INTRODUCTION TO EEG- AND SPEECH-BASED EMOTION RECOGNITION -- INTRODUCTION TO EEG- AND SPEECH-BASED EMOTION RECOGNITION -- Copyright -- Contents -- Preface -- Acknowledgments -- 1 -- Introduction to Emotion, Electroencephalography, and Speech Processing -- 1.1 INTRODUCTION -- 1.2 BRAIN PHYSIOLOGY -- 1.2.1 Major Brain Areas -- The Brain Stem -- The Midbrain -- The Limbic System -- The Cerebral Cortex -- The Basal Ganglia -- The Cerebellum -- The Cerebrum -- 1.3 LOBES OF THE BRAIN AND THEIR FUNCTIONS -- 1.3.1 The Frontal Lobe -- 1.3.2 The Parietal Lobe -- 1.3.3 The Temporal Lobe -- 1.3.4 The Occipital Lobe -- 1.4 ELECTROENCEPHALOGRAPHY -- 1.5 HUMAN AUDITORY SYSTEM -- 1.5.1 Speech Production Mechanism -- 1.6 SPEECH PROCESSING -- 1.6.1 Speech Emotion Recognition -- 1.7 ORGANIZATION OF THE BOOK -- 1.8 CONCLUSION -- References -- 2 -- Technological Basics of EEG Recording and Operation of Apparatus -- 2.1 INTRODUCTION TO ELECTROENCEPHALOGRAPHY -- 2.1.1 Brain Waves -- 2.1.2 Applications of EEG -- 2.2 MODERN EEG EQUIPMENT -- 2.2.1 Wired EEG Systems -- 2.2.1.1 Merits -- 2.2.1.2 Demerits -- 2.2.2 Wireless EEG Systems -- 2.2.2.1 Merits -- 2.2.2.2 Demerits -- 2.2.3 Evoked Potentials -- 2.3 THE EEG 10/20 ELECTRODES PLACEMENT SYSTEM -- 2.4 EEG ACQUISITION TOOL -- 2.4.1 EEG Acquire Software -- 2.4.2 EEG Analysis Software -- 2.5 ARTIFACTS -- 2.5.1 Eye Blinks -- 2.5.2 Eye Movement -- 2.5.3 Muscular Artifacts -- 2.5.4 Electrode Artifacts -- 2.6 SPEECH ACQUISITION AND PROCESSING -- 2.6.1 Applications of Speech Recognition22 -- 2.6.2 Acquisition Setup -- 2.7 COMPUTERIZED SPEECH LABORATORY -- 2.7.1 Key Features of CSL -- 2.7.2 Facilities Available in CSL -- 2.7.2.1 Record and Speak Facilities -- 2.7.2.2 Analytical Tools -- 2.7.2.3 Other Special Features -- 2.8 CONCLUSION -- References -- 3 -- Technical Aspects of Brain Rhythms and Speech Parameters.
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|a 3.1 INTRODUCTION TO BRAIN-WAVE FREQUENCIES -- 3.1.1 Gamma Waves -- 3.1.2 Beta Waves -- 3.1.3 Alpha Waves -- 3.1.4 Theta Waves -- 3.1.5 Delta Waves -- 3.2 SPEECH PROSODIC FEATURES -- 3.2.1 Acoustic Features for Emotions -- 3.2.1.1 Prosody-Related Signal Measures -- 3.2.1.1.1 ENERGY -- 3.2.1.1.2 PITCH -- 3.2.1.1.3 FORMANT -- 3.2.1.1.4 INTENSITY -- 3.2.1.1.5 LOUDNESS -- 3.2.1.1.6 DURATION -- 3.2.1.1.7 SAMPLING RATE -- 3.2.1.2 Spectral Characteristics Measures -- 3.2.1.2.1 MEL-FREQUENCY CEPSTRAL COEFFICIENTS -- 3.2.1.2.2 MEL FILTER BANK ENERGY BASED SLOPE FEATURES -- 3.2.1.3 Voice Quality-related Measures -- 3.2.1.3.1 JITTER -- 3.2.1.3.2 SHIMMER -- 3.2.1.3.3 HARMONIC TO NOISE RATIO -- 3.3 SIGNAL PROCESSING ALGORITHMS -- 3.3.1 Preprocessing Algorithms -- 3.3.1.1 Common Spatial Patterns (CSP) -- 3.3.1.2 Independent Component Analysis -- 3.3.2 Feature Extraction -- 3.3.2.1 Principal Components Analysis -- 3.3.2.2 Mel Frequency Cepstral Coefficients for Speech Feature Extraction -- 3.3.3 Feature Classification -- 3.3.3.1 Linear Discriminative Analysis -- 3.3.3.2 Support Vector Machine -- 3.3.3.2.1 LINEAR CLASSIFICATION -- 3.3.3.2.2 NON-LINEAR CLASSIFICATION -- 3.4 CONCLUSION -- References -- 4 -- Time and Frequency Analysis -- 4.1 INTRODUCTION -- 4.2 FOURIER TRANSFORMATION -- 4.2.1 Theoretical Background -- 4.2.2 Aliasing -- 4.3 GABOR TRANSFORMATION (SHORT-TIME FOURIER TRANSFORMATION)5-7 -- 4.3.1 Theoretical Considerations -- 4.3.2 Limitations of Gabor Transformation5,6,9 -- 4.4 SHORT-TIME FOURIER TRANSFORMATION -- 4.4.1 Window Size for Short-Term Spectral Analysis10,11 -- 4.5 WAVELET TRANSFORMATION -- 4.5.1 Theoretical Background -- 4.5.1.1 Continuous Wavelet Transformation -- 4.5.1.2 Dyadic Wavelet Transformation -- 4.5.1.3 Multiresolution Analysis -- 4.5.1.4 Discrete Wavelet (Haar) Transformation -- 4.5.1.5 The Morlet Wavelet.
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|a 4.6 TIME DOMAIN VERSUS FREQUENCY DOMAIN ANALYSIS -- 4.7 EXAMPLES -- 4.8 CONCLUSION -- References -- 5 -- Emotion Recognition -- 5.1 INTRODUCTION -- 5.2 MODALITIES FOR EMOTION RECOGNITION SYSTEMS -- 5.2.1 Physiological -- 5.2.1.1 Facial Expression -- 5.2.1.1.1 FEATURES FOR FACIAL EXPRESSIONS -- 5.2.1.1.2 FACIAL ACTION CODING SYSTEM -- 5.2.1.1.3 AVAILABLE DATABASES OF FACIAL EXPRESSIONS -- 5.2.1.1.3.1 ENTERFACE05 -- 5.2.1.1.3.2 COHN-KANADE AU-CODED EXPRESSION DATABASE -- 5.2.1.1.3.3 MMI FACIAL EXPRESSION DATABASE -- 5.2.1.1.3.4 JAPANESE FEMALE FACIAL EXPRESSION (JAFFE) DATABASE -- 5.2.1.1.3.5 RADBOUD FACES DATABASE -- 5.2.1.2 Body Movement/Gesture -- 5.2.1.2.1 FEATURES FOR BODY MOVEMENT/GESTURE -- 5.2.1.2.2 SOFTWARE USED FOR BODY GESTURE/MOVEMENTS -- 5.2.1.2.2.1 CUBE26 -- 5.2.2 Behavioral -- 5.2.2.1 Speech -- 5.2.2.1.1 FEATURES FOR SPEECH SIGNALS -- 5.2.2.1.2 FEATURES FOR SPEECH -- 5.2.2.2 Text -- 5.2.2.2.1 FEATURES EXTRACTED FROM TEXT -- 5.2.2.2.1.1 GRAPHICS IMAGES (GI) FEATURES -- 5.2.2.2.1.2 WORDNET-AFFECT FEATURES -- 5.2.2.2.1.3 OTHER FEATURES -- 5.2.3 Brain Signals and Imaging -- 5.2.3.1 Positron Emission Tomography -- 5.2.3.2 Magnetic Resonance Imaging -- 5.2.3.3 Magnetoencephalography -- 5.2.3.4 Functional Magnetic Resonance Imaging -- 5.2.3.5 NIRS -- 5.2.3.6 Electroencephalography -- 5.2.3.6.1 ROUTINE EEG -- 5.2.3.6.2 SLEEP EEG -- 5.2.3.6.3 AMBULATORY EEG -- 5.2.3.6.4 VIDEO TELEMETRY -- 5.2.3.7 Features for EEG -- 5.2.3.8 Available Online Database for EEG With Respect to Emotions -- 5.2.3.8.1 DATASET FOR EMOTION ANALYSIS USING EEG, PHYSIOLOGICAL, AND VIDEO SIGNALS (DEAP) -- 5.3 CONCLUSION -- References -- 6 -- Multimodal Emotion Recognition -- 6.1 INTRODUCTION -- 6.1.1 The Need for Multimodal -- 6.2 MODELS AND THEORIES OF EMOTION -- 6.2.1 Circumflex Model -- 6.2.2 Vector Model -- 6.2.3 Positive Activation-Negative Activation Model.
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|a 6.2.4 Plutchik's Model -- 6.3 PLEASURE, AROUSAL, AND DOMINANCE EMOTIONAL STATE MODEL -- 6.4 EARLIER EFFORTS IN MULTIMODAL EMOTION RECOGNITION SYSTEMS -- 6.5 ONLINE DATABASES OF MULTIMODAL EMOTIONS -- 6.5.1 Surrey Audio-Visual Expressed Emotion Database -- 6.5.2 Dataset for Emotion Analysis Using EEG, Physiological, and Video Signals -- 6.5.3 HUMAINE Database -- 6.5.4 Interactive Emotional Dyadic Motion Capture Database -- 6.6 ADVANTAGES OF MULTIMODAL APPROACH -- 6.7 CHALLENGES FOR MULTIMODAL AFFECT RECOGNITION SYSTEMS -- 6.8 CONCLUSION -- References -- 7 -- Proposed EEG/Speech-Based Emotion Recognition System: A Case Study -- 7.1 INTRODUCTION -- 7.2 EXPERIMENTAL DATABASE -- 7.3 EXPERIMENTAL ANALYSIS FOR EEG IMAGES -- 7.3.1 Active Electrodes From EEG Images for Relaxed, Happy, and Sad Emotional States -- 7.3.2 Active Regions From EEG Images for Relaxed, Happy, and Sad Emotional States -- 7.3.3 EEG Images for Relaxed, Happy, and Sad Emotional States -- 7.3.4 Active Region Size From EEG Images for Relaxed, Happy, and Sad Emotional States -- 7.4 ANALYSIS OF FEATURE EXTRACTION FROM EEG IMAGES -- 7.5 EXPERIMENTAL ANALYSIS FOR SPEECH SIGNALS -- 7.6 CORRELATION OF EEG IMAGES AND SPEECH SIGNALS -- 7.7 CLASSIFICATION USING LINEAR DISCRIMINATE ANALYSIS -- 7.8 CONCLUSION -- References -- 8 -- Brain-Computer Interface Systems and Their Applications -- 8.1 INTRODUCTION -- 8.2 WORKING OF BCI SYSTEMS -- 8.3 TYPES OF BCI -- 8.3.1 Invasive BCI -- Advantages -- Disadvantages -- 8.3.2 Partially Invasive BCI -- Advantages -- Disadvantages -- 8.3.3 Noninvasive BCI -- Advantages -- Disadvantages -- 8.4 BCI APPLICATIONS -- 8.4.1 Prosthetic Control -- 8.4.2 BCI in Fatigue and Driver Alertness -- 8.4.3 The P300 Speller18 -- 8.4.3.1 Characteristics of P300 -- 8.4.3.2 Applications of P300 -- 8.4.4 Brain Fingerprinting -- 8.4.4.1 Brain Fingerprinting Applications.
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|a 8.5 CHALLENGES FOR BCI -- 8.6 CONCLUSION -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Back Cover.
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|a Artificial intelligence.
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|a Intelligence artificielle.
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|a Mehrotra, Suresh C.,
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|i Print version:
|a Abhang, Priyanka A.
|t Introduction to EEG- and speech-based emotion recognition.
|d Amsterdam, [Netherlands] : Academic Press, �2016
|h ix, 187 pages
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|u https://sciencedirect.uam.elogim.com/science/book/9780128044902
|z Texto completo
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