Emotion and Attention Recognition Based on Biological Signals and Images / edited by Seyyed Abed Hosseini.

Format:

Book

Author/Creator:

Seyyed Abed Hosseini

Contributor:

Hosseini, Seyyed Abed, editor.

Language:

English

Subjects (All):

Emotion recognition.

Physical Description:

1 online resource (94 pages) : illustrations

Place of Publication:

IntechOpen 2017

Croatia : IntechOpen, 2017.

Language Note:

English

Summary:

Emotion, stress, and attention recognition are the most important aspects in neuropsychology, cognitive science, neuroscience, and engineering. Biological signals and images processing such as galvanic skin response (GSR), electrocardiography (ECG), heart rate variability (HRV), electromyography (EMG), electroencephalography (EEG), event-related potentials (ERP), eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) have a great help in understanding the mentioned cognitive processes. Emotion, stress, and attention recognition systems based on different soft computing approaches have many engineering and medical applications. The book Emotion and Attention Recognition Based on Biological Signals and Images attempts to introduce the different soft computing approaches and technologies for recognition of emotion, stress, and attention, from a historical development, focusing particularly on the recent development of the field and its specialization within neuropsychology, cognitive science, neuroscience, and engineering. The basic idea is to present a common framework for the neuroscientists from diverse backgrounds in the cognitive neuroscience to illustrate their theoretical and applied research findings in emotion, stress, and attention.

Notes:

Description based on publisher supplied metadata and other sources.

Includes bibliographical references.

ISBN:

9789535166955

9535166956

9789535129165

9535129163