Human behaviour analysis using intelligent systems /

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Bibliographic Details
Imprint:Cham : Springer, ©2020.
Description:1 online resource (205 pages)
Language:English
Series:Learning and analytics in intelligent systems, 2662-3455 ; volume 6
Learning and analytics in intelligent systems ; v. 6.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12602601
Hidden Bibliographic Details
Other authors / contributors:Hemanth, D. Jude, editor.
ISBN:9783030351397
3030351394
9783030351403
3030351408
9783030351410
3030351416
3030351386
9783030351380
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed December 3, 2019).
Summary: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.
Other form:Print version: Hemanth, D. Jude. Human Behaviour Analysis Using Intelligent Systems. Cham : Springer, ©2020 9783030351380
Standard no.:10.1007/978-3-030-35139-7

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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. 
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