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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
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This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.

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Keywords

  • activity recognition
  • Affective Computing
  • affective corpus
  • aging adults
  • Arousal
  • arousal detection
  • artificial intelligence
  • automatic facial emotion recognition
  • auxiliary loss
  • behavioral biometrical systems
  • Benchmarking
  • Boredom
  • center of pressure
  • class center
  • Classification
  • Cognitive Load
  • Computer science
  • convolutional neural network
  • convolutional neural networks
  • correlation statistics
  • data transformation
  • dataset
  • deep convolutional neural network
  • deep learning
  • deep neural network
  • dilated convolutions
  • driving stress
  • EEG
  • elderly caring
  • electrocardiogram
  • electrodermal activity
  • electrodermal activity (EDA)
  • Electroencephalography
  • Émotion
  • emotion classification
  • emotion elicitation
  • emotion monitoring
  • emotion recognition
  • emotion representation
  • expert evaluation
  • face landmark detection
  • facial detection
  • facial emotion recognition
  • facial expression recognition
  • facial landmarks
  • feature extraction
  • feature selection
  • flight simulation
  • Frustration
  • fully convolutional DenseNets
  • GSR
  • Head-mounted display
  • homography matrix
  • Human-computer interaction
  • in-ear EEG
  • information fusion
  • infrared thermal imaging
  • intensity of emotion recognition
  • Interest
  • long short-term memory recurrent neural networks
  • long-term stress
  • Machine learning
  • mental stress detection
  • multimodal sensing
  • multimodal sensors
  • musical genres
  • n/a
  • normalization
  • outpatient caring
  • overload
  • pain recognition
  • perceived stress scale
  • physiological sensing
  • physiological signal processing
  • physiological signals
  • Psychophysiology
  • quantitative analysis
  • régression
  • Respiration
  • Road Traffic
  • road types
  • sensor
  • sensor data analysis
  • signal analysis
  • Signal processing
  • similarity measures
  • skip-connections
  • smart band
  • smart insoles
  • smart shoes
  • socially assistive robot
  • Stress
  • stress detection
  • stress recognition
  • stress research
  • stress sensing
  • subject-dependent emotion recognition
  • subject-independent emotion recognition
  • Technology, engineering, agriculture
  • Technology: general issues
  • thoracic electrical bioimpedance
  • Time Series Analysis
  • transfer learning
  • underload
  • unobtrusive sensing
  • valence detection
  • Viola-Jones
  • Virtual reality
  • Wearable sensors
  • weighted loss

Links

DOI: 10.3390/books978-3-0365-1139-9

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