Human behaviour analysis using intelligent systems / D. Jude Hemanth, editor.
Hemanth, D. Jude, editor.
2020
Q342
Available Online

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Title Human behaviour analysis using intelligent systems / D. Jude Hemanth, editor.
ISBN 9783030351397 (electronic book)
3030351394 (electronic book)
3030351386
9783030351380
Publication Details Cham : Springer, ©2020.
Language English
Description 1 online resource (205 pages).
Call Number Q342
Dewey Decimal Classification 006.3
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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 3, 2019).
Added Author Hemanth, D. Jude, editor.
Series Learning and analytics in intelligent systems ; v. 6.
Available in Other Form Human Behaviour Analysis Using Intelligent Systems
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Record Appears in Online Resources > Ebooks
All Resources
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.

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