Presents various intelligent-based systems for all aspects of human behaviour analysis
Focuses on human behaviour analysis using intelligent systems
Written by experts in the field
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.
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.
This book focuses on the human emotion analysis aspects of HCI, highlighting innovative methodologies for emotion analysis by machines/computers and their application areas. This multidisciplinary book is useful to researchers and academicians, as well as students wanting to pursue a career in computational intelligence.
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.
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 DetectPedestrian Crossing Using ARELM Technique.- Chapter 5: Artificial Intelligence Applications in Tracking Health Behaviors during Disease Epidemics.- Chapter 6: Novel non-contact Respiration Rate detector foranalysis of emotions.- Chapter 7: Human Emotion Classification using EEG signals by Multivariate SynchroSqueezing Transform.
Inhaltsverzeichnis
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.
Klappentext
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.
Presents various intelligent-based systems for all aspects of human behaviour analysis
Focuses on human behaviour analysis using intelligent systems
Written by experts in the field
