Human-Machine Interface Technology Advancements and Applications

ISBN-13: 9781032351520 / Angielski

Ravichander Janapati; Usha Desai; Shrirang Ambaji Kulkarni

Opis

Human-Machine Interface Technology Advancements and Applications, focuses on analysis, design, and evaluation perspectives in HMI technological breakthroughs and applications. It covers a wide range of ideas, methodologies, approaches, and instruments to give the reader a thorough understanding of the field's current academic and industry practice and debate. Physical, cognitive, social, and emotional factors are all considered in the work, which is exemplified by key application fields such as aerospace, automobile, medicine, and defense. This book covers AI and machine learning methodologies, as well as biological signals and HMI applications. Nanotechnology, user interface design, and interactive systems are also featured. The MATLAB approach to signal processing applications is also included.

This book discusses advances in the field of Human Machine Interfaces and provides practical knowledge in biomedical signal processing, AI, and machine learning. It discusses Augmented Reality/Virtual Reality-based HMI applications. It examines advances in nanotechnology, user interface design, and interactive systems.

This book is intended to serve as a research guide that will both inform readers about the fundamentals of HMI from academic and industrial perspectives, as well as provide a glimpse into how human-centered designers, such as engineers and human factors specialists, will attempt to design and develop human-machine systems in the future.

Spis treści

1. Neural Networks for Human-Machine Interface. 2. An Overview of Recent Approaches in Brain-Computer Interface Systems using Electroencephalography. 3. Automatic Detection of Motor Imagery Eeg Signals Using Swarm Decomposition For Robust BCI System. 4. Analysis of Mental Stress during Public Speaking using Feature Optimization Techniques on EEG Signals. 5. Classification of human emotions based on Electroencephalogram (EEG) using two-layer Gated Recurrent Units (GRUs). 6. Epileptic Seizure Classification Using Machine Learning Algorithms with The Techniques of PCA Feature Reduction. 7. Nano technology advancements in HMI. 8. An Engineering Approach of Non-Invasive Detection and Analysis of Human Heart Sound for Alarm Generation. 9. Image Denoising: An Overview of Important Methods in Spatial and Transform Domain. 10. Diabetic Retinopathy Diagnosis System Based on Artificial Intelligence. 11. Usability to User Experience with Interactive Systems in Biomedical Applications and Devices. 12. Dynamic Energy Management of Hybrid Electric Vehicles (HEVs) using Fuzzy Logic Controller. 13. Predictive Maintenance and Anomaly Detection in Smart Manufacturing. 14. Impact of digitalization and artificial intelligence (AI) on diagnostic pathology: Are we looking at a renaissance? 15. University Chatbot System Using Natural Language Processing.