Open access peer-reviewed Edited volume

Emotion and Attention Recognition Based on Biological Signals and Images

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.

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Emotion and Attention Recognition Based on Biological Signals and ImagesEdited by Seyyed Abed Hosseini

Published: February 8th 2017

DOI: 10.5772/62957

ISBN: 978-953-51-2916-5

Print ISBN: 978-953-51-2915-8

Books open for chapter submissions

3134 Total Chapter Downloads

1 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Emotion and Attention Recognition Based on Biological Signals and Images

By Seyyed Abed Hosseini

711

Open access peer-reviewed

2. Human Automotive Interaction: Affect Recognition for Motor Trend Magazine's Best Driver Car of the Year

By Albert C. Cruz, Bir Bhanu and Belinda T. Le

508

Open access peer-reviewed

3. Affective Valence Detection from EEG Signals Using Wrapper Methods

By Antonio R. Hidalgo‐Muñoz, Míriam M. López, Isabel M. Santos, Manuel Vázquez‐Marrufo, Elmar W. Lang and Ana M. Tomé

517

Open access peer-reviewed

4. Tracking the Sound of Human Affection: EEG Signals Reveal Online Decoding of Socio-Emotional Expression in Human Speech and Voice

By Xiaoming Jiang

669

Open access peer-reviewed

5. Multimodal Affect Recognition: Current Approaches and Challenges

By Hussein Al Osman and Tiago H. Falk

729

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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