Human-Machine Interface Technology Advancements and Applications

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, and 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.

「人機介面技術的進展與應用」專注於人機介面技術突破和應用的分析、設計和評估觀點。它涵蓋了廣泛的想法、方法論、途徑和工具，以使讀者對該領域的當前學術和行業實踐和辯論有全面的了解。該書考慮了物理、認知、社會和情感因素，並以航空航天、汽車、醫學和國防等關鍵應用領域為例。本書涵蓋了人工智能和機器學習方法論，以及生物信號和人機介面應用。還介紹了納米技術、用戶界面設計和互動系統。書中還包括了MATLAB信號處理應用的方法。

本書討論了人機界面領域的進展，並提供了生物醫學信號處理、人工智能和機器學習的實用知識。它討論了基於擴增實境/虛擬實境的人機界面應用。它還檢視了納米技術、用戶界面設計和互動系統的進展。

本書旨在作為一本研究指南，既能從學術和工業的角度向讀者介紹人機介面的基礎知識，又能讓讀者一窺人本中心設計師（如工程師和人因專家）在未來如何設計和開發人機系統的一瞥。

Dr. Ravichander Janapati is 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 PhD 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 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 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 PhD 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 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 levels. He received his PhD in Microelectronics and 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/coeditor of eight 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 modeling of multigate semiconductor devices, device-circuit co-design in digital/analog domain, machine learning, and IoT.

Dr. Ravichander Janapati是SR大學電子與通訊工程系的副教授，他是IEEE的高級會員。他畢業於JNTU海得拉巴的電子與通訊工程專業，並在Jawaharlal Nehru技術大學Anantapur獲得了無線傳感器網絡領域的博士學位和數字電子與通訊系統的碩士學位。他的研究興趣包括無線傳感器網絡和腦-電腦界面。

Dr. Usha Desai是SR大學電子與通訊工程系的教授和系主任。她於2017年在REVA大學的生物醫學信號處理領域獲得博士學位，並在卡納塔克邦的Visvesvaraya技術大學Belagavi獲得了數字電子學碩士學位。

Dr. Shrirang A. Kulkarni是中佛羅里達大學全球健康管理與信息學院的博士後研究員。在加入UCF之前，他曾在印度Mysore的國家工程學院計算機科學與工程系擔任副教授。他於2012年在Visvesvaraya技術大學獲得計算機與信息科學博士學位。他目前的研究工作包括使用機器學習開發醫療數據分析的新算法。他還是計算機協會（ACM）的高級會員。

Dr. Shubham Tayal是印度SR大學電子與通訊工程系的助理教授。他在UG和PG級別有超過6年的學術/研究經驗。他在國家技術學院Kurukshetra的微電子和VLSI設計專業獲得博士學位，並在YMCA科技大學Faridabad的VLSI設計專業和MDU Rohtak的電子與通訊工程專業獲得碩士學位和學士學位。他是CRC出版社（Taylor & Francis Group，美國）和Springer Nature的八本書的編輯/合編者。他是2020年Green ThinkerZ國際傑出青年研究員獎的獲獎者。他的研究興趣包括多閘極半導體器件的模擬和建模，數字/模擬領域的器件-電路協同設計，機器學習和物聯網。