Publikation: Emotion and Stress Recognition Related ...
Stammdaten
Titel: | Emotion and Stress Recognition Related Sensors and Machine LearningTechnologies |
Untertitel: | |
Kurzfassung: | 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. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies. |
Schlagworte: |
Publikationstyp: | Fachbuch (Herausgeberschaft) |
Erscheinungsdatum: | 06.2021 (Print) |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Gesamtseitenanzahl: | 552 S. |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 06.2021 |
ISBN: |
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ISSN: | - |
Homepage: | https://www.mdpi.com/books/pdfview/book/3959 |
HerausgeberInnen
Kyandoghere Kyamakya (intern) | ||||||
Fadi Al Machot (extern) | ||||||
Ahmad Haj Mosa (intern) | ||||||
Hamid Bouchachia
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Jean Chamberlain Chedjou (intern) | ||||||
Antoine Bagula
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Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Intelligente Systemtechnologien
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AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster |
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Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Arbeitsgruppen |
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Kooperationen
Organisation | Adresse | ||
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University of the Western Cape
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ZA
Cape Town |
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Bournemouth University
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GB
- BH12 5BB
Bournemouth |
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: | Keine verknüpften Projekte vorhanden |
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
Vorträge: | Keine verknüpften Vorträge vorhanden |