Human Behaviour Analysis Using Intelligent Systems

✍ Scribed by D. Jude Hemanth

Publisher: Springer International Publishing
Year: 2020
Tongue: English
Leaves: 205
Series: Learning and Analytics in Intelligent Systems 6
Edition: 1st ed. 2020
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-v
Real Time Palm and Finger Detection for Gesture Recognition Using Convolution Neural Network (R. Ramya, K. Srinivasan)....Pages 1-19
Haptics: Prominence and Challenges (P. Sagaya Aurelia)....Pages 21-43
Detection and Behavioral Analysis of Preschoolers with Dyscalculia (Sheffali Suri, Annu Tirkey, J. Delphy, Sagaya Aurelia)....Pages 45-67
FPGA Based Human Fatigue and Drowsiness Detection System Using Deep Neural Network for Vehicle Drivers in Road Accident Avoidance System (D. Selvathi)....Pages 69-91
Intelligent Image Analysis System for Position Control of People with Locomotor Disabilities (Marius Popescu, Antoanela Naaji)....Pages 93-118
An Innovative Prediction Technique to Detect Pedestrian Crossing Using ARELM Technique (A. Sumi, T. Santha)....Pages 119-140
Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics (Kurubaran Ganasegeran, Surajudeen Abiola Abdulrahman)....Pages 141-155
Novel Non-contact Respiration Rate Detector for Analysis of Emotions (P. Grace Kanmani Prince, R. Immanuel Rajkumar, J. Premalatha)....Pages 157-178
Human Emotion Classification Using EEG Signals by Multivariate SynchroSqueezing Transform (S. T. Veena, M. N. Sumaiya)....Pages 179-204

✦ Subjects

Engineering; Computational Intelligence; Biomedical Engineering

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