Search results: Found 2

Listing 1 - 2 of 2
Sort by
Emotion and Attention Recognition Based on Biological Signals and Images

Author:
ISBN: 9789535129158 9789535129165 Year: Pages: 96 DOI: 10.5772/62957 Language: English
Publisher: IntechOpen
Subject: Biotechnology
Added to DOAB on : 2019-10-03 07:51:49

Loading...
Export citation

Choose an application

Abstract

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.

Cognitive and Computational Neuroscience - Principles, Algorithms and Applications

Author:
ISBN: 9781789231885 9781789231892 Year: Pages: 104 DOI: 10.5772/intechopen.68377 Language: English
Publisher: IntechOpen
Subject: Neurology
Added to DOAB on : 2019-10-03 09:47:13

Loading...
Export citation

Choose an application

Abstract

The book ""Cognitive and Computational Neuroscience - Principles, Algorithms and Applications"" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

Listing 1 - 2 of 2
Sort by
Narrow your search

Publisher

IntechOpen (2)


License

unknown (2)


Language

english (2)


Year
From To Submit

2018 (1)

2017 (1)