1st Edition
Handbook of Artificial Intelligence and Wearables Applications and Case Studies
The ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments. This handbook provides a solid understanding of the significant role that AI plays in the design and development of wearable technologies along with applications and case studies.
Handbook of Artificial Intelligence and Wearables: Applications and Case Studies presents a deep understanding of AI and its involvement in wearable technologies. The book discusses the key role that AI plays and goes on to discuss the challenges and possible solutions. It highlights the more recent advances along with real-world approaches for the design and development of the most popular AI-enabled wearable devices such as smart fitness trackers, AI-enabled glasses, sports wearables, disease diagnostic devices, and more, complete with case studies.
This book will be a valuable source for researchers, academics, technologists, industrialists, practitioners, and all people who wish to explore the applications of AI and the part it plays in wearable technologies.
About the Editors
List of Contributors
Preface
Chapter 1: Artificial Intelligence applications for Smart Wearables
Ashaq Hussain Bhat, Puniethaa Prabhu, Hilal Ahmad Khanday and Korhan Cingez
Chapter 2: Introduction to Machine Learning for Smart Wearables
A. Naga Sai Purushotham, Potti Jaswanth, Potnuru Sai Santhosh, Hemachandran K and Zita Zoltay Paprika
Chapter 3: Simulation Strategies for Analysing of Data
S.S. Darly, Karan Kadhir, Hemachandran K and Manjeet Rege
Chapter 4: Machine Learning Models for Regression and Classification
Syed Immamul Ansarullah, Sami Alshmrany, Mudasir Manzoor Kirmani and Abdul Basit Andrabi
Chapter 5: Expert Systems for Better Decision Making
Krishna Saraf, Swagatika Mohapatro, Yamasani Keerthi Reddy, K Shiridi Kumar and Mulagada Surya Sharmila
Chapter 6: An Investigative Analysis of Artificial Neural Network (ANN) Models for Intelligent Wearable Devices
B Rupa Devi, C. Sateesh Kumar Reddy, G.Yamini, P. Sunitha and M. Reddi Durgasree
Chapter 7: Human Health Monitoring and Live Video Streaming of Remote Patients with the Help of Internet of Things
V Malathy, M Anand, Geetha Manoharan and Dr. Anil Pise
Chapter 8: Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Harishchander Anandaram, Neeraj Kumar Mishra and M.S.Nidhya
Chapter 9: Exploring Covid-19 Disease through Intensive Investigation with Supervised Machine Learning Algorithm
R.Dinesh Kumar, G.Prudhviraj, K.Vijay, P.Senthil Kumar and Philipp Plugmann
Chapter 10: Medicine Supply through UAV
Mandala Bhuvana, Kesireddy Rajashekar Reddy, Varagani Ramu, Bochu Sai Vardhan, Vijaya Gunturu and Delukshi Shanmugarajah
Chapter 11: A Novel Method of Human Activity Recognition From Sensor Data Using Artificial Intelligence
Asha G., Badrinath N, Jagadeesan D, Jeevana Jyothi Pujari and Konatham Sumalatha
Chapter 12: Robotics and its Navigation Techniques: The Present and Future Revelations
Rajchandar K, Kothandaraman D, Geetha Manoharan and Gabriel Kabanda
Chapter 13: Powering the Future: How AI is advancing the field of Robotics
Mantosh Mahapatra, Parag Raut, Aksh Dharaskar, Rohit Naluri and Saliha Bathool
Chapter 14: Smart Rings
Sushanth Kumar Patnaik, Neha Medimi and Ezendu Ariwa
Chapter 15: Smart Glasses with Sensors
Xavier Borah, Dr. Thangam and Neelam Kumari
Chapter 16: Smart Earphones
Emmanuel Lawenrence, Sourav Chakraborty, and Chinna Swamy Dudekula
Chapter 17: AI Enabled Glasses
Aluri Anand Sai, Ravali Gunda Ravali and Pokala Pranay Kumar
Chapter 18: AI in Smart Fitness Trackers
Pisipati Sai Anurag, Pankaj Kumar Singh, Marepalli Radha and Karthik Ramesh
Chapter 19: Smart Helmets
Vanshhita Jaju, Saurav Sulam and Vishal Kumar Sharma
Chapter 20: Implanted in the Body Tattooed on the Skin
Rishabh, Hemachandran K and Alexander Didenko
Chapter 21: Biosensors applications in Embedded Wearable Devices
G. Ramasubba Reddy, Humera, M.V Subba Reddy, Ranjith Kumar Painam and K Dinesh Kumar
Chapter 22: Real impacts of AI on Sports Wearables
Panuganti Naveen, R. Shruthi, Pranavitha. V, Dumpa Sree Harsha Reddy and Kashika Parmar
Chapter 23: Recommendation Systems for Customers
Krishnachaitanya Pabbu and Rizwan Zhad
Chapter 24: Analysis of medical wearable devices experience: A machine learning model using structural topic modelling
Vinay Chittiprolu and Pradeep Sharma
Chapter 25: Case Study
Someshwar, Hemachandran K, Raul V. Rodriguez, Channabasava Chola and Kyung Hee
nnabasava Chola, Kyung Hee
Biography
Dr Hemachandran K is the Director of the AI Research Centre and Area Chair of the Analytics Department at Woxsen University. He is an ambassador of the AI Accelerator Institute and an Advisory Board member in many international and national companies such as AptAI Labs, USA, Agzitence Pvt, Ltd and many more. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. Currently serving as Expert at UNESCO and ATL Mentor of Change. He has edited 7 books and authored 3 books. He was bestowed as Best University Faculty Award at Woxsen University for two consecutive years 2022-2023 and 2021-2022 and also at Ashoka Institute of Engineering & Technology in 2019 – 2020. He is expertise in Natural Language Processing, Computer Vision, Building Video recommendation systems, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries across the globe.
Dr. Manjeet Rege is a Professor and Chair of the Department of Software Engineering and Data Science; and Director of the Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He is also the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation. Apart from being engaged in research, Dr. Rege regularly consults with various organizations to provide expert guidance for building Big Data and AI practice, and applying innovative data science approaches. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences.
Dr. Zita Zoltay Paprika graduated from the Karl Marx University of Budapest in 1981 and received her university doctorate degree from the same institution in 1983. She was working at the Bureau for Systems Analysis of the State Committee for Technical Development as an analyst till 1987. She joined the Business Economics Department of the Budapest University of Economic Sciences in 1988. She got her Ph.D. in Business Administration in 1999. In 2000 she was appointed as the Director for International Affairs at the Budapest University of Economic Sciences and Public Administration. Her main fields of interest are Decision Sciences and Business Economics. Dr. Zoltay Paprika was involved in different international and national projects during which activity she was project manager on several occasions. She was also acting as the USAID auditor in project evaluations. In 2005-2006 she got a Fulbright Research Scholarship and spent an academic year at California State University Sacramento. She has been the Chair of the Department of Decision Sciences from 2005 to 2020 and was appointed as the Program Director of the International Study Programs at the Faculty of Business Administration, Corvinus University of Budapest from 2007 to 2014. From January 1st, 2014 to January 31st, 2020 she was the Dean of the Corvinus Business School at Corvinus University of Budapest. During this period Corvinus Business School achieved EQUIS and AMBA accreditations. From February 1st, 2020 until 15 October she was appointed as Vice President of International Relations and Accreditations at Corvinus University of Budapest. She served at the EFMD Programme Accreditation Board from 2016 to 2022. She is the member of the International Advisory Board of ESSCA School of Management and Burgundy School of Business in France. Since 2021 she has been a member in CEIBS - Chinese European International Business School - International Advisory Board. Dr. Zoltay Paprika has been involved in several EQUIS and EFMD Programme accreditations as a Chair or PRT member. She is an editorial board member of the Central European Business Review and the International Journal of Business Research and Management. In January 2023 she was appointed as an Associate Director of EFMDa.
Dr. Rajesh Kumar K V, currently working as Assistant Professor, School of Business - in Business Analytics area, Woxsen University, Hyderabad, India. He is holding Chair Professor of France Belanger of Information systems. He is serving as Co-Chairperson of the Centre of Excellence – Sports Analytics and Management and also he is Advertflair Chair Professor in Marketing and Advertising (AI Projects). He has earned his M. Tech in Embedded Systems from JNTU, Kakinada, and AMIE in ECE from the Institution of Engineers, Kolkata. He has done his research and Ph.D., at VIT University, Chennai. He was earlier associated with DRDO - DIPAS govt of India as a Junior Research Fellow and upGrad Educational Private Limited where he was guiding students in selecting research problems and in writing a thesis, to deal with AI/ML models, for those who are pursuing M.Sc. in Data Science / AI ML courses from LIVERPOOL JOHN MOORES University through upGrad. His research specialization is Human Computer Interface based signal Data Analytics for Bio-Medical Applications, Machine, and Deep Learning, and Business Analytics. He is a reviewer for the American Journal of Artificial Intelligence. Recently he presented a talk on at Data Con LA+ IM Data 2022 conference, US- California on sports analytics.
Dr. Shahid Mohammad Ganie is an Assistant Professor at the AI Research Centre in the School of Business at Woxsen University. He is holding Chair Professor of Manjeet Rege Professor of Data Science and AI. He is serving as Co-Chairperson of the Centre of Excellence – SCIN Data. He obtained his PhD (Machine Learning in Healthcare Informatics) and a master's degree in Computer Applications (MCA), where he was a Gold Medalist, from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir. He also holds a BSc in Mathematics from the University of Kashmir. His research interests include Data Analytics, Machine Learning, Deep Learning, Healthcare Informatics, Smart Healthcare Systems, and Medical Image Computing. He has published various research articles in the refereed journals, edited books, and reputed international conferences. In addition, he serves as a reviewer for international/national reputed journals such as the Journal of Big Data, Applied Artificial Intelligence, Frontiers in Physiology, Connection Science, and Healthcare Analytics. Furthermore, he is a member of the AI Research Centre at Woxsen University. He holds a research affiliation with the Woxsen Future Lab (Interdisciplinary/Multidisciplinary Research Lab) at Woxsen University. Also, he serves as a member of the Technology Advisory Board, AI Research Centre, Woxsen University.
