Explainable AI Applications for Human Behavior Analysis

✍ Scribed by P Paramasivan; S Suman Rajest; Karthikeyan Chinnusamy

• Publisher: Engineering Science Reference
• Year: 2024
• Tongue: English
• Leaves: 391
• Category: Library

✦ Synopsis

In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists – the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow. Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI’s innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds.

✦ Table of Contents

Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Exploring Innovative Metrics to Benchmark and Ensure Robustness in AI Systems
Chapter 2: New Framework Modeling for Big Data Analysis of the Future
Chapter 3: Shedding Light on Dataset Influence for More Transparent Machine Learning
Chapter 4: An Optimized Clustering Quality Analysis in K-Means Cluster Using Silhouette Scores
Chapter 5: Comparative Analysis of Belief Propagation and Layered Decoding Algorithms for LDPC Codes
Chapter 6: Design and Development of Compensation Topologies in WPT Using MATLAB Programming and MATLAB Simulink
Chapter 7: Short Time Comparison of Item Sets With Market Basket Analysis Using Frequent Pattern (FP) Growth Method
Chapter 8: Innovations in Skeleton-Based Movement Recognition Bridging AI and Human Kinetics
Chapter 9: Real-Time Facial Emotion Analysis for Adaptive Teaching Strategies Using Deep Learning
Chapter 10: Image Recognition and Extraction on Computerized Vision for Sign Language Decoding
Chapter 11: Efficient Noise Removal in Palmprint Images Using Various Filters in a Machine-Learning Approach
Chapter 12: Analysis of Cyber Attack on Processor Architecture Through Exploiting Vulnerabilities
Chapter 13: Artificial Neural Network-Based Efficient Cyber Hacking Detection System Using Deep Learning Approaches
Chapter 14: Convolution Neural Network-Based Efficient Development of Intrusion Detection Using Various Deep Learning Approaches
Chapter 15: AI-Driven Computer Vision for Intelligent Home Automation and Surveillance Systems
Chapter 16: Global Regionalization of Consumer Neuroscience Behavioral Qualities on Insights From Google Trends
Chapter 17: Sentiment Analysis of COVID-19 Tweets Through Flair PyTorch, Emojis, and TextBlob
Chapter 18: A Visualization Approach for Analyzing Decision-Making in Human-Robot Interactions
Chapter 19: Efficient Student Behaviour Analysis in E-Learning Using Data Mining Approaches
Compilation of References
About the Contributors
Index