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Human behaviour analysis using intel...

Hemanth, D. Jude.

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Human behaviour analysis using intelligent systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Human behaviour analysis using intelligent systems/ edited by D. Jude Hemanth.
other author:	Hemanth, D. Jude.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	v, 204 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-35139-7
ISBN:	9783030351397

Human behaviour analysis using intelligent systems
Human behaviour analysis using intelligent systems[electronic resource] /edited by D. Jude Hemanth. - Cham :Springer International Publishing :2020. - v, 204 p. :ill., digital ;24 cm. - Learning and analytics in intelligent systems,v.62662-3447 ;. - Learning and analytics in intelligent systems ;v.6..

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.

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.

ISBN: 9783030351397

Standard No.: 10.1007/978-3-030-35139-7doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342 / .H863 2020

Dewey Class. No.: 006.3

Human behaviour analysis using intelligent systems
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245 0 0 $a Human behaviour analysis using intelligent systems $h [electronic resource] / $c edited by D. Jude Hemanth.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a v, 204 p. : $b ill., digital ; $c 24 cm.
490 1 $a Learning and analytics in intelligent systems, $x 2662-3447 ; $v v.6
505 0 $a 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.
520 $a 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.
650 0 $a Computational intelligence. $3 595739
650 0 $a Human-computer interaction. $3 560071
650 0 $a Emotions. $3 524569
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
700 1 $a Hemanth, D. Jude. $3 3301913
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Learning and analytics in intelligent systems ; $v v.6. $3 3445436
856 4 0 $u https://doi.org/10.1007/978-3-030-35139-7
950 $a Intelligent Technologies and Robotics (Springer-42732)