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Human behaviour analysis using intel...
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Hemanth, D. Jude.
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Human behaviour analysis using intelligent systems
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Human behaviour analysis using intelligent systems/ edited by D. Jude Hemanth.
其他作者:
Hemanth, D. Jude.
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
v, 204 p. :ill., digital ;24 cm.
內容註:
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
標題:
Computational intelligence. -
電子資源:
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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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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