A Multimodal Database as a Background for Emotional Synthesis, Recognition and Training in E-Learning Systems

Anolli, Luigi; Mantovani, Fabrizia; Mortillaro, Marcello; Vescovo, Antonietta; Agliati, A; Confalonieri, Linda; Realdon, Olivia; Zurloni, Valentino; Sacchi, Alessandro

doi:10.1007/11573548_73

Cited by 8 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results showed that it was necessary to use event-related features and emphasized the significance of improving the adaptive decision fusion method for emotion classification. Anolli et al [72] developed an E-learning system endowed with emotion computing ability for the cultivation of relational skills based on 10 different kinds of emotions detected from the facial expressions, vocal nonverbal features and postures of 34 subjects. Picard et al [73] developed a machine with the ability to recognize daily eight emotional states from EMG, EDA, blood volume pressure and respiration signals over multiple weeks.…”

Section: Multiple Physiological Signalsmentioning

confidence: 99%

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Lin

2023

Applied Sciences

View full text Add to dashboard Cite

People’s emotions play an important part in our daily life and can not only reflect psychological and physical states, but also play a vital role in people’s communication, cognition and decision-making. Variations in people’s emotions induced by external conditions are accompanied by variations in physiological signals that can be measured and identified. People’s psychological signals are mainly measured with electroencephalograms (EEGs), electrodermal activity (EDA), electrocardiograms (ECGs), electromyography (EMG), pulse waves, etc. EEG signals are a comprehensive embodiment of the operation of numerous neurons in the cerebral cortex and can immediately express brain activity. EDA measures the electrical features of skin through skin conductance response, skin potential, skin conductance level or skin potential response. ECG technology uses an electrocardiograph to record changes in electrical activity in each cardiac cycle of the heart from the body surface. EMG is a technique that uses electronic instruments to evaluate and record the electrical activity of muscles, which is usually referred to as myoelectric activity. EEG, EDA, ECG and EMG have been widely used to recognize and judge people’s emotions in various situations. Different physiological signals have their own characteristics and are suitable for different occasions. Therefore, a review of the research work and application of emotion recognition and judgment based on the four physiological signals mentioned above is offered. The content covers the technologies adopted, the objects of application and the effects achieved. Finally, the application scenarios for different physiological signals are compared, and issues for attention are explored to provide reference and a basis for further investigation.

show abstract

Section: Multiple Physiological Signalsmentioning

confidence: 99%

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Lin

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…All the modules provide information about behavior and physiological variations displayed by the user at a certain stage of the interaction: Variations should be processed by the inferential system in order to assess emotional state using an advanced statistical approach, including different learning and classification algorithms. To this end, it is critically necessary to define a training database, as a fundamental prerequisite for developing reliable classification algorithms (Anolli et al, 2005).…”

Section: Guidelines For Designing An Inferential System Of Emotion Rementioning

confidence: 99%

Addressing Emotions within E-Learning Systems

Zurloni

Mantovani

Mortillaro

et al. 2008

Handbook of Research on Instructional Systems and Technology

Self Cite

View full text Add to dashboard Cite

Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.Handbook of research on instructional systems and technology / Terry Kidd & Holim Song, editors. p. cm.Summary: "This book provides information on different styles of instructional design methodologies, tips, and strategies on how to use technology to facilitate active learning and techniques to help faculty and researchers develop online instructional and teaching materials. It enables libraries to provide a foundational reference for researchers, educators, administrators, and others in the context of instructional systems and technology"--Provided by publisher.Includes bibliographical references and index.ISBN 978-1-59904-865-9 (hardcover) --ISBN 978-1-59904-866-6 (ebook)

show abstract

An Experimental Study on Physiological Parameters Toward Driver Emotion Recognition

Leng

Lin

Zanzi

2007

Lecture Notes in Computer Science

View full text Add to dashboard Cite

A Multimodal Database as a Background for Emotional Synthesis, Recognition and Training in E-Learning Systems

Cited by 8 publications

References 12 publications

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals

Addressing Emotions within E-Learning Systems

An Experimental Study on Physiological Parameters Toward Driver Emotion Recognition

Contact Info

Product

Resources

About