Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Technology: general issues

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.

Kyamakya, Kyandoghere (editor)
Al-Machot, Fadi (editor)
Mosa, Ahmad Haj (editor)
Bouchachia, Hamid (editor)
Chedjou, Jean Chamberlain (editor)
Bagula, Antoine (editor)

https://directory.doabooks.org/handle/20.500.12854/76513

MDPI - Multidisciplinary Digital Publishing Institute

2021

Wahyuni

https://creativecommons.org/licenses/by/4.0/

Pdf

English

Textbooks

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

ISBN
9783036511382, 9783036511399