Cantitate/Preț
Produs
Total produse
Vezi coșul
Artificial Intelligence to Analyze Psychophysical and Human Lifestyle de Gunjan Chhabra

Artificial Intelligence to Analyze Psychophysical and Human Lifestyle

Autor Gunjan Chhabra, Sunil Kumar, Sunil Gupta, Pooja Nagpal
en Limba Engleză Hardback – 19 sep 2023
This book is about the use of technology/artificial intelligence in the areas of human behavior and psychology, health and nutrition, and fitness and sports.


Everybody has his/her own lifestyle but may not necessarily be aware of what constitutes a healthy lifestyle. Knowledge gained from the Internet may be scattered and inaccurate and, if adhered to, may lead to loss of life. The COVID-19 pandemic increased people's awareness of the need for a healthy lifestyle but how to adopt a healthy lifestyle is something to be clarified since every individual is different (body type, situation, etc.), and hence, their needs will be different as well. This book addresses such questions and explores how the use of technology in the areas mentioned above can enable each individual to easily achieve a healthy lifestyle.
Citește tot Restrânge

Preț: 76488 lei

Preț vechi: 93278 lei
-18% Nou

Puncte Express: 1147
Preț estimativ în valută:
14638€ • 15205$ • 12159£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789819930388
ISBN-10: 9819930383
Pagini: 150
Ilustrații: X, 150 p. 20 illus., 19 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Module I: Technology in Psychology and Human Behavior
  • Chapter 1:Interaction and Convergence of IoT and AI
  • Chapter 2: Artificial Intelligence to Understand Human Behaviours and Psychology 
  • Chapter 3: Wireless Body Area Network in Healthcare
  • Chapter 4: Techniques Used for Behaviors' Analysis Using Deep Learning
Module II: Technology in Food and Nutrition
  • Chapter 5: Artificial Intelligence and Machine Learning Approaches for Understanding Food and Nutrients
  • Chapter 6: Artificial Intelligence and Internet of Things to Improve Health and Nutrition
  • Chapter 7: Food Recognition and Nutrition Estimation Using Deep Learning
  • Chapter 8: Data-driven Approach for Personalized Nutrition and Health Infrastructure

Module III: Technology in fitness and sports
  • Chapter 9: Machine Learning for Individual Performance Analysis and Sports Analytics
  • Chapter 10: Technology for Nutrition, Fitness and Sports
  • Chapter 11: Predictive and Performance Analytics in Fitness and Sports
  • Chapter 12: Computer Vision for Pose Estimation in Real-Time

Notă biografică

Dr. Gunjan Chhabra is a PhD in computer science and engineering, working as Associate Professor in the Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun. He has a teaching experience of 9 years and the area of his expertise is algorithms, image processing and machine learning. He has published eight patents, with two granted patents from IPR. Also, he has published several research papers in various renowned journals. Additionally, he has authored two textbooks in the domain of the Internet of Things and image processing. He has also mentored many projects in different domains of computer science. Under his guidance, his students have successfully incubated their ideas as start-ups. His area of research is Artificial Intelligence, Machine Learning, IoT, and Cyber Security.
Dr. Sunil Kumar is Assistant Professor (Selection Grade) in the Cybernetics Cluster under School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun (India). He received B.Tech. (2006) in Computer Science and Engineering from Kurukshetra University, Kurukshetra, India, M.Tech. in Computer Science and Engineering from MMU, Ambala, India, and Ph.D. (2021) in Computer Science and Engineering from University of Petroleum and Energy Studies, Dehradun, India. He is Founder Member of OPEN community under University of Petroleum and Energy Studies, Dehradun. He has published more than 20 papers including refereed journals and international conferences. His area of research is WSN, deep learning, IoT, and data mining.
Dr. Sunil Gupta has over more than 19 years of experience in teaching, research, and industry in the field of computer science and engineering. Prior to joining UPES as Professor, he has worked with BML Munjal University, Delhi Technical Campus, IP University, Northern India Engineering College, IP University, IIMT, Baddi University of Emerging Science, IFTM University, and Physical Laboratory. He is Active Member of IEEE Society, Computer Society of India, Member, Computer Science Teacher Association, Life Member, International Association of Engineers, Member, International Association of Computer Science and Information Technology, Member, and Internet Society (ISOC). He has conducted various workshops, conferences, and FDP. He guides various students for research and project work. He has authored 69 research papers, six patents, and two textbooks, namely Cryptography and Network Security and Wireless Sensor Networks. His academic interest includes security, cloud computing, big data, sensor, wireless networks, and health care. He has successfully completed various research projects and consultancy from government and private organization like Department of Science and technology, Xcrino Business Solutions, and more. He has been regularly invited as Technical Expert in different committees by both private and government organizations and as Expert for recruiting faculty by different colleges affiliated to GGSIPU. He has been nominated in JAC (Joint Assessment Committee) as Technical Expert by GGSIPU to evaluate the functioning of various colleges (both Govt. and Private) affiliated to same. He is Reviewer of international journal namely Journal of Supercomputing, published by Springer Netherlands, International Journal of Wireless Networks by Springer, International Journal of Computer and Electrical Engineering, Singapore, and Member of Scientific Committee and Editorial Review Board on Engineering and Physical Sciences for World Academy of Science, Engineering and Technology and many more.
Dr. Pooja Nagpal is working as Associate Professor at School of Engineering and Technology, K R Mangalam University, Gurgaon, Haryana, India. She has completed her Ph.D. in Computer Science and Engineering (2021). She has attained her M.Tech. in CSE (2011) from NIT Kurukshetra and B.Tech. CSE from Kurukshetra University. Her total work experience is around 14 years. Her research area includes machine learning, DevOps, software engineering, and data mining. She has a number of research papers published in peer-reviewed, well-indexed, and good-impact factor journals and conferences. She has also published book chapters with renowned publishers and published numerous patents. She has also mentored number of projects with students and successfully incubated some of them. She is Member of editorial board of various reputed journals.

Textul de pe ultima copertă

This book is about the use of technology/artificial intelligence in the areas of human behavior and psychology, health and nutrition, and fitness and sports.Everybody has his/her own lifestyle but may not necessarily be aware of what constitutes a healthy lifestyle. Knowledge gained from the Internet may be scattered and inaccurate and, if adhered to, may lead to loss of life. The COVID-19 pandemic increased people's awareness of the need for a healthy lifestyle but how to adopt a healthy lifestyle is something to be clarified since every individual is different (body type, situation, etc.), and hence, their needs will be different as well. This book addresses such questions and explores how the use of technology in the areas mentioned above can enable each individual to easily achieve a healthy lifestyle.

Caracteristici

Explores the role of AI, machine learning, and IoT in lifestyle improvement, with a personalized feedback process
Covers the techniques for monitoring food and nutrition intake based on each individual person
Analyzes the effects of a balanced diet on human behavior, lifestyle, and performance