Human-Machine Interface Technology Advancements and Applications
暫譯: 人機介面技術的進展與應用
Janapati, Ravichander, Desai, Usha, Kulkarni, Shrirang Ambaji
- 出版商: CRC
- 出版日期: 2023-09-22
- 售價: $7,360
- 貴賓價: 9.5 折 $6,992
- 語言: 英文
- 頁數: 314
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032351527
- ISBN-13: 9781032351520
-
相關分類:
人工智慧、使用者介面 UI、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
《人機介面技術的進展與應用》專注於人機介面（HMI）技術突破及應用的分析、設計和評估視角。它涵蓋了廣泛的理念、方法論、途徑和工具，旨在讓讀者全面了解該領域目前的學術和產業實踐及辯論。該書考慮了物理、認知、社會和情感等多種因素，並以航空航天、汽車、醫療和國防等關鍵應用領域為例。這本書涵蓋了人工智慧（AI）和機器學習方法論，以及生物信號和HMI應用。還介紹了納米技術、使用者介面設計和互動系統。MATLAB在信號處理應用中的方法也被納入其中。
本書討論了人機介面領域的進展，並提供生物醫學信號處理、人工智慧和機器學習的實用知識。它探討了基於擴增實境/虛擬實境的HMI應用，並檢視了納米技術、使用者介面設計和互動系統的進展。
本書旨在作為一個研究指南，既能讓讀者了解HMI的基本概念，從學術和產業的角度出發，也能讓讀者窺見以人為中心的設計師，如工程師和人因專家，將如何設計和開發未來的人機系統。
作者簡介
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.
作者簡介(中文翻譯)
拉維昌德·賈納帕提博士是SR大學電子與通信工程系的副教授。他是IEEE的資深會員。他畢業於海得拉巴的JNTU電子與通信工程，並在阿南特布爾的賈瓦哈拉爾·尼赫魯技術大學獲得了關於自組織無線感測網路的博士學位，以及數位電子與通信系統的碩士學位。他的研究興趣包括無線感測網路和腦機介面。
烏莎·德賽博士是SR大學電子與通信工程系的教授及系主任。她於2017年在班加羅爾的REVA大學獲得生物醫學信號處理領域的博士學位，並在卡納塔克邦的維斯維斯瓦拉亞技術大學獲得數位電子的碩士學位。
施里朗·A·庫爾卡尼博士是中央佛羅里達大學全球健康管理與資訊學院的博士後研究員。在加入UCF之前，他曾在印度邁索爾的國立工程學院擔任計算機科學與工程系的副教授。他於2012年在維斯維斯瓦拉亞技術大學獲得計算機與資訊科學的博士學位。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。他也是計算機協會（ACM）的資深會員。
舒巴姆·塔亞爾博士是印度SR大學電子與通信工程系的助理教授。他擁有超過6年的本科及研究生教學經驗。他在庫魯克舍特拉的國立技術學院獲得微電子學與VLSI設計的博士學位，在法里達巴德的YMCA科學與技術大學獲得VLSI設計的碩士學位，以及在羅塔克的MDU獲得電子與通信工程的學士學位。他是CRC Press（泰勒與法蘭西斯集團，美國）和Springer Nature共編輯的八本書的編輯/共同編輯。他是2020年綠色思想者國際傑出青年研究者獎的獲得者。他的研究興趣包括多閘半導體器件的模擬與建模、數位/類比領域的器件-電路共同設計、機器學習和物聯網。
