UID:
almahu_9948204164202882
Format:
V, 204 p.
,
online resource.
Edition:
1st ed. 2020.
ISBN:
9783030351397
Series Statement:
Learning and Analytics in Intelligent Systems, 6
Content:
Human–computer interaction (HCI) is one of the most significant areas of computational intelligence. This book focuses on the human emotion analysis aspects of HCI, highlighting innovative methodologies for emotion analysis by machines/computers and their application areas. The methodologies are presented with numerical results to enable researchers to replicate the work. This multidisciplinary book is useful to researchers and academicians, as well as students wanting to pursue a career in computational intelligence. It can also be used as a handbook, reference book, and a textbook for short courses.
Note:
Chapter 1: Detection and Behavioral Analysis of preschoolers with Dyscalculia -- Chapter 2: FPGA based Human Fatigue and Drowsiness Detection System using Deep Neural Network for Vehicle Drivers in Road Accident Avoidance System -- Chapter 3: Intelligent Image Analysis System for Position Control of People with Locomotor Disabilities -- Chapter 4: An Innovative Prediction Technique to Detect Pedestrian Crossing Using ARELM Technique -- Chapter 5: Artificial Intelligence Applications in Tracking Health Behaviors during Disease Epidemics -- Chapter 6: Novel non-contact Respiration Rate detector for analysis of emotions -- Chapter 7: Human Emotion Classification using EEG signals by Multivariate SynchroSqueezing Transform.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030351380
Additional Edition:
Printed edition: ISBN 9783030351403
Additional Edition:
Printed edition: ISBN 9783030351410
Language:
English
DOI:
10.1007/978-3-030-35139-7
URL:
https://doi.org/10.1007/978-3-030-35139-7
URL:
Volltext
(URL des Erstveröffentlichers)
