06925nam 2201753z- 450 991055734600332120220111(CKB)5400000000042430(oapen)https://directory.doabooks.org/handle/20.500.12854/76513(oapen)doab76513(EXLCZ)99540000000004243020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEmotion and Stress Recognition Related Sensors and Machine Learning TechnologiesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (550 p.)3-0365-1138-5 3-0365-1139-3 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.Technology: general issuesbicsscactivity recognitionaffective computingaffective corpusaging adultsarousalarousal detectionartificial intelligenceautomatic facial emotion recognitionauxiliary lossbehavioral biometrical systemsbenchmarkingboredomcenter of pressureclass centerclassificationcognitive loadcomputer scienceconvolutional neural networkconvolutional neural networkscorrelation statisticsdata transformationdatasetdeep convolutional neural networkdeep learningdeep neural networkdilated convolutionsdriving stressEEGelderly caringelectrocardiogramelectrodermal activityelectrodermal activity (EDA)electroencephalographyemotionemotion classificationemotion elicitationemotion monitoringemotion recognitionemotion representationexpert evaluationface landmark detectionfacial detectionfacial emotion recognitionfacial expression recognitionfacial landmarksfeature extractionfeature selectionflight simulationfrustrationfully convolutional DenseNetsGSRhead-mounted displayhomography matrixhuman-computer interactionin-ear EEGinformation fusioninfrared thermal imagingintensity of emotion recognitioninterestlong short-term memory recurrent neural networkslong-term stressmachine learningmental stress detectionmultimodal sensingmultimodal sensorsmusical genresn/anormalizationoutpatient caringoverloadpain recognitionperceived stress scalephysiological sensingphysiological signal processingphysiological signalspsychophysiologyquantitative analysisregressionrespirationroad trafficroad typessensorsensor data analysissignal analysissignal processingsimilarity measuresskip-connectionssmart bandsmart insolessmart shoessocially assistive robotstressstress detectionstress recognitionstress researchstress sensingsubject-dependent emotion recognitionsubject-independent emotion recognitionthoracic electrical bioimpedancetime series analysistransfer learningunderloadunobtrusive sensingvalence detectionViola-Jonesvirtual realitywearable sensorsweighted lossTechnology: general issuesKyamakya Kyandoghereedt1294150Al-Machot FadiedtMosa Ahmad HajedtBouchachia HamidedtChedjou Jean ChamberlainedtBagula AntoineedtKyamakya KyandoghereothAl-Machot FadiothMosa Ahmad HajothBouchachia HamidothChedjou Jean ChamberlainothBagula AntoineothBOOK9910557346003321Emotion and Stress Recognition Related Sensors and Machine Learning Technologies3036787UNINA