Human-Machine Interface Technology Advancements and Applications  book cover
1st Edition

Human-Machine Interface Technology Advancements and Applications

  • Available for pre-order on June 27, 2023. Item will ship after July 18, 2023
ISBN 9781032351520
July 18, 2023 Forthcoming by CRC Press
360 Pages 87 Color & 29 B/W Illustrations

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Book Description

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.

Table of Contents

Chapter 1. Neural Networks for Human-Machine Interface

Deepthi Dayanand, Sutejas K, Vrishank Shishir, Shobana Padmanabhan, and Murthy Chavali

Chapter 2. An Overview of Recent Approaches in Brain-Computer Interface Systems using Electroencephalography

Shishir Maheswari, Kandala N V P S Rajesh, Usha Desai, and T. Sunil Kumar

Chapter 3. Automatic Detection of Motor Imagery Eeg Signals Using Swarm Decomposition For Robust BCI System

Shailesh Vitthalrao Bhalerao, and Ram Bilas Pachori

Chapter 4. Analysis of Mental Stress during Public Speaking using Feature Optimization Techniques on EEG Signals

Ananda Babu T, D. Krishna, G. Sridevi, Y. Mamillu, S. Ravi, and P. Rajesh Kumar

Chapter 5. Classification of human emotions based on Electroencephalogram (EEG) using two-layer Gated Recurrent Units (GRUs)

Ch.Rajendra Prasad, Sreedhar Kollem, Ravichander Janapati, Srinivas Samala, and Sandip Bhattacharya

Chapter 6. Epileptic Seizure Classification Using Machine Learning Algorithms with The Techniques of PCA Feature Reduction

Dr.B.Shadaksharappa, and P.Ramkumar

Chapter 7. Nano technology advancements in HMI

Vivek P Chavda1, Mital Patel, Patel Ritu J, Thakkar Kunjal H, Patel Disha B, Pankti Balar, Piyush Patel, Usha Desai

Chapter 8. An Engineering Approach of Non-Invasive Detection and Analysis of Human Heart Sound for Alarm Generation

Iti Saha Misra

Chapter 9. Image Denoising: An Overview of Important Methods in Spatial and Transform Domain

Aravind B N, K V Suresh, Nataraj Urs H D, Yashwanth N,and Usha Desai

Chapter 10. Diabetic Retinopathy Diagnosis System Based on Artificial Intelligence

Nayana Hegde, Savitha Krishna, and Sunilkumar S.Manvi

Chapter 11. Usability to User Experience with Interactive Systems in Biomedical Applications and Devices

Chitharanjan Billa, and Murthy Chavali

Chapter 12. Dynamic Energy Management of Hybrid Electric Vehicles (HEVs) using Fuzzy Logic Controller

Sohan Das, Souvik Biswas, Sukrit Sarkar, and Tamal Maji

Chapter 13. Predictive Maintenance and Anomaly Detection in Smart Manufacturing

Trisiladevi C. Nagavi, Sanchith Hegde, Prajith V, M S Sudeep, and B. Rajesh

Chapter 14. Impact of digitalization and artificial intelligence (AI) on diagnostic pathology: Are we looking at a renaissance?

Asitava Deb Roy

Chapter 15. University Chatbot System Using Natural Language Processing

P Pramod kumar, Parupally Sindh2, Avula Jahnavi,BokkaPrudvi Charan, Sukka Prashanth

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Dr. Ravichander Janapati, is an Associate Professor at Department of ECE, SR University, Warangal. He is a senior member of IEEE/ He graduated in Electronics and Communication Engineering from JNTU Hyderabad and received his Ph.D. in the Adhoc Wireless Sensor Networks field and M.Tech in Digital Electronics and Communication Systems from the Jawaharlal Nehru Technical University, Anantapur. His areas of interest are wireless sensor networks and brain computer interface.

Dr. Usha Desai, is a Professor and Head at Department of ECE, SR University, Warangal. She received her PhD in the area of Biomedical Signal Processing from REVA University, Bengaluru in 2017 and M.Tech. in Digital Electronics from Visvesvaraya Technological University, Belagavi, Karnataka.

Dr. Shrirang A. Kulkarni is a Post-Doctoral Fellow with the School of Global Health Management and Informatics, University of Central Florida. Before joining UCF he worked as an Associate Professor with the Department of Computer Science and Engineering at National Institute of Engineering, Mysore, India. He earned his Ph.D. in Computer and Information Science from Visvesvaraya Technological University in the year 2012. His current research work includes developing new algorithms for analysis of healthcare data using machine learning. He is also a senior member of Association for Computing Machinery (ACM).

Dr. Shubham Tayal is an Assistant Professor in the Department of Electronics and Communication Engineering at SR University, Warangal, India. He has more than 6 Years of academic/research experience teaching at UG and PG level. He received his Ph.D. in Microelectronics & VLSI Design from National Institute of Technology, Kurukshetra, M.Tech (VLSI Design) from YMCA university of Science and Technology, Faridabad and B.Tech (Electronics and Communication Engineering) from MDU, Rohtak. He is the editor/co-editor of 8 books in total from CRC Press (Taylor & Francis Group, USA) and Springer Nature. He is a recipient of Green ThinkerZ International Distinguished Young Researcher Award 2020. His research interests include simulation and modelling of multigate semiconductor devices, Device-Circuit co-design in digital/analog domain, machine learning and IOT.