Smart Textiles and Wearables for Health and Fitness
1st Edition
Published on 9. May 2025
Book
Hardback
464 pages
978-1-394-30294-9 (ISBN)
Description
Smart Textiles and Wearables for Health and Fitness provides an in-depth exploration of how innovative technologies and materials are reshaping healthcare, making it an essential resource for anyone looking to understand the transformative power of smart textiles and wearables in patient monitoring, diagnosis, and rehabilitation.
Smart Textiles and Wearables for Health and Fitness explores the transformative influence of flexible electronics on the healthcare field. The book's chapters include a broad spectrum of topics, each offering valuable perspectives on the intersection of textiles, wearables, and health technology.
Smart Textiles and Wearables for Health and Fitness delves into the unique technologies and materials driving the flexible electronics revolution, offering insights into their development and applications. The study explores the diverse uses of intelligent textiles and wearable devices in healthcare, encompassing activities such as monitoring patients, diagnosing conditions, aiding rehabilitation, and administering therapeutic interventions. In this volume, we will explore the incorporation of sensors, biometrics, and biomarkers into textiles to showcase their capacity for immediate health monitoring and data collection. Additionally, we will explore the possible uses of smart textiles and wearables in managing chronic conditions, tracking sports and fitness activities, and facilitating human-computer interaction in medical settings. This book promises an engaging journey through the frontiers of technology, offering a comprehensive understanding of the transformative potential of smart textiles and wearables in revolutionizing healthcare delivery and improving patient outcomes.
Smart Textiles and Wearables for Health and Fitness explores the transformative influence of flexible electronics on the healthcare field. The book's chapters include a broad spectrum of topics, each offering valuable perspectives on the intersection of textiles, wearables, and health technology.
Smart Textiles and Wearables for Health and Fitness delves into the unique technologies and materials driving the flexible electronics revolution, offering insights into their development and applications. The study explores the diverse uses of intelligent textiles and wearable devices in healthcare, encompassing activities such as monitoring patients, diagnosing conditions, aiding rehabilitation, and administering therapeutic interventions. In this volume, we will explore the incorporation of sensors, biometrics, and biomarkers into textiles to showcase their capacity for immediate health monitoring and data collection. Additionally, we will explore the possible uses of smart textiles and wearables in managing chronic conditions, tracking sports and fitness activities, and facilitating human-computer interaction in medical settings. This book promises an engaging journey through the frontiers of technology, offering a comprehensive understanding of the transformative potential of smart textiles and wearables in revolutionizing healthcare delivery and improving patient outcomes.
More details
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Weight
794 gr
ISBN-13
978-1-394-30294-9 (9781394302949)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jyotirmoy Pathak | Abhishek Kumar | Suman Lata Tripathi
Smart Textiles and Wearables for Health and Fitness
E-Book
04/2025
1st Edition
Wiley
€197.99
Available for download
Jyotirmoy Pathak | Abhishek Kumar | Suman Lata Tripathi
Smart Textiles and Wearables for Health and Fitness
E-Book
03/2025
1st Edition
Wiley
€197.99
Available for download
Persons
Jyotirmoy Pathak, PhD, is a professor at Christ University, Bengaluru, India and serves on several editorial review boards. He has authored over 20 research papers, five book chapters, and one book that have been internationally published. His research interests include side channel attack, VLSI design, low power architecture, memory design, data converters, and cryptology.
Abhishek Kumar, PhD, is an associate professor at Lovely Professional University, Punjab, India, and editorial board member for various international journals and conferences. He has published over 30 research papers in referred journals and presented 18 research papers at international conferences. Additionally, he has published five books and 12 book chapters internationally. His areas of expertise include VLSI design, low-power architecture, memory design, data converters, cryptology, and side channel attack.
Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Punjab, India with over seventeen years of scholarly experience. She has published over 45 research papers in refereed journals and conferences, as well as six books. She has orchestrated several student seminars, summer apprenticeships, and lectures by subject matter experts. Her research interests include modelling and characterization of microelectronics devices, design of low power VLSI circuits, VLSI testing designs, advanced FET designs for the Internet of Things, embedded system design, and biomedical applications.
Balwinder Raj, PhD, is an associate professor in the Electronics and Communication Engineering Department, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, India. He has published over 100 research papers in national and international journals and conferences. His areas of interest include nanoscale semiconductor device modeling, sensors design, FinFET- based memory design, and low-power VLSI design.
Abhishek Kumar, PhD, is an associate professor at Lovely Professional University, Punjab, India, and editorial board member for various international journals and conferences. He has published over 30 research papers in referred journals and presented 18 research papers at international conferences. Additionally, he has published five books and 12 book chapters internationally. His areas of expertise include VLSI design, low-power architecture, memory design, data converters, cryptology, and side channel attack.
Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Punjab, India with over seventeen years of scholarly experience. She has published over 45 research papers in refereed journals and conferences, as well as six books. She has orchestrated several student seminars, summer apprenticeships, and lectures by subject matter experts. Her research interests include modelling and characterization of microelectronics devices, design of low power VLSI circuits, VLSI testing designs, advanced FET designs for the Internet of Things, embedded system design, and biomedical applications.
Balwinder Raj, PhD, is an associate professor in the Electronics and Communication Engineering Department, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, India. He has published over 100 research papers in national and international journals and conferences. His areas of interest include nanoscale semiconductor device modeling, sensors design, FinFET- based memory design, and low-power VLSI design.
Content
Preface xxi
1 History of Smart Textiles and Wearables 1
K. Jothimani, S. Hemalatha, S. Selvaraj and R. Thangarajan
1.1 Introduction 2
1.2 Early Concepts and Historical Background 2
1.2.1 Incorporation of Technology in Textiles: Ancient Practices 3
1.2.2 Industrial Revolution and Textile Mechanization 4
1.2.3 Emergence of Functional Textiles 5
1.3 Advancements in Materials and Technologies 6
1.3.1 Conductive Fabrics and Fibers 7
1.3.2 Flexible Electronics and Sensors 8
1.3.3 Energy Harvesting and Power Management 9
1.4 Evolution of Wearable Technologies 9
1.4.1 Early Prototypes and Limitations 10
1.4.1.1 Limitations of Early Prototypes 10
1.4.2 Miniaturization and Integration 11
1.4.3 User Experience Enhancements 12
1.5 Key Milestones and Innovations 12
1.5.1 Wearable Fitness Trackers 12
1.5.1.1 Working Details of Fitness Tracker 14
1.5.2 Smart Clothing for Medical Monitoring 16
1.5.3 Fashion-Tech Collaborations 16
1.5.4 Role of Data Analytics and Connectivity 17
1.5.4.1 IoT and Smart Textile Integration 18
1.5.4.2 Artificial Intelligence in Wearables 18
1.5.4.3 Data Privacy and Security Concerns 19
1.5.5 Current Trends and Future Prospects 20
1.5.5.1 Augmented Reality and Virtual Reality Applications 20
1.5.5.2 Environmental Sensing and Sustainability Efforts 21
1.5.5.3 Challenges and Opportunities for Further Research 22
1.5.5.4 Opportunities 23
1.6 Conclusion 24
References 25
2 Smart Textiles in Healthcare 27
Harpreet Kaur Channi, Surinder Kaur and Ramandeep Sandhu
2.1 Introduction 28
2.2 Importance of Smart Textiles In Healthcare 29
2.3 Evolution of Smart Textiles in Healthcare 31
2.4 Fabrication and Integration of Sensors in Smart Textiles 33
2.4.1 Applications of Smart Textiles in Healthcare 35
2.5 Key Technologies in Smart Textiles 37
2.5.1 Continuous Health Monitoring 38
2.5.2 Enhanced Patient Comfort and Compliance 40
2.6 Remote Patient Monitoring 41
2.7 Challenges and Considerations 44
2.8 Case Studies and Examples 46
2.8.1 University of Pittsburgh Medical Center (UPMC) Health Plan 46
2.8.2 University of California San Francisco's Chronic Disease Management Program 47
2.8.3 Partners HealthCare's Post-Acute Care Remote Monitoring Program 48
2.8.4 University of Mississippi Medical Center's Telepsychiatry Program 48
2.9 Future Directions and Opportunities 48
2.9.1 Opportunities for Research and Development 50
2.9.2 Potential Impact on Healthcare Delivery 52
2.10 Conclusion 53
References 54
3 Smart Textiles and Its Application in the Healthcare Sector 59
Surabhi Das, C. Manjulatha, Desu Surya Tejaswi, Kanchan Bisht and Anita Rani
3.1 Introduction 60
3.2 Monitoring of Physiological Characteristics 61
3.2.1 Cardiovascular Activity 62
3.2.2 Electrodermal Activity 62
3.2.2.1 Breathing 63
3.2.2.2 Blood Pressure 63
3.2.2.3 Body Movement 63
3.3 Distribution of Body Fluids and Investigation of Perspiration 64
3.4 Concentration of Blood Oxygen 65
3.5 Applications and Trends for Healthcare Sectorin Smart Textiles 65
3.5.1 Difficulties Faced by Smart Textiles in Healthcare Sector 67
3.5.2 Fit and Comfort 67
3.5.3 Utilization Simplicity 68
3.5.4 Approval From the Medical Community 68
3.5.5 Ethics 69
3.5.6 Side Effects of Smart Wearable Textile Materials 69
3.6 Conclusion 70
References 70
4 Bio-Integrated Fabrics: A Comprehensive Look at Smart Textiles for Enhanced Healthcare 73
Devender Kumar and Seema Mishra
4.1 Introduction 74
4.2 Background 75
4.2.1 Technical Perspective 75
4.2.2 Applications and Future Directions 76
4.3 Revolutionizing Healthcare: Core Applications of Bio-Integrated Fabrics 78
4.3.1 Continuous Health Monitoring 79
4.3.2 Rehabilitation and Physical Therapy 79
4.3.3 Wearable Therapeutics 79
4.3.3.1 Thermal Therapy 80
4.3.3.2 Patient Monitoring in Clinical Settings 80
4.3.3.3 Elderly Care and Assisted Living 80
4.4 Beyond Applications: Unveiling the Technical Aspects 80
4.4.1 Materials and Conductive Fibers 81
4.4.2 Sensor Integration 81
4.4.3 Flexible Electronics 81
4.4.4 Energy Harvesting and Storage 82
4.4.5 Data Processing and Communication 82
4.5 Challenges and Considerations for Widespread Adoption 82
4.5.1 Technical Challenges 85
4.5.1.1 Durability and Washability 85
4.5.1.2 Power Supply and Energy Efficiency 85
4.5.1.3 Signal Interference and Data Integrity 85
4.5.2 Economic Challenges 85
4.5.2.1 High Production Costs 85
4.5.2.2 Market Acceptance and Adoption 86
4.5.3 Regulatory and Ethical Challenges 86
4.5.3.1 Regulatory Approval 86
4.5.3.2 Data Privacy and Security 86
4.5.4 Social and Ethical Considerations 86
4.5.4.1 User Comfort and Acceptance 86
4.5.4.2 Accessibility and Equity 87
4.5.5 Side Effects 87
4.5.5.1 Skin Sensitivities 88
4.5.5.2 Sleep Disruption 88
4.5.5.3 Data Overload and Privacy Concerns 88
4.5.5.4 Overdependence and Obsession on Metrics 88
4.6 Conclusion: The Future of Healthcare is Woven with Smart Textiles 89
References 89
5 Printed Flexible Wearable Sensor for Monitoring of Biological Parameters and Disease Management 93
S. Saranya, S. Suresh Kumar, Y. Nandakishora and S. Prasad Jones Christydass
5.1 Introduction of Biomarkers and Biosensors 94
5.2 Working of Biosensor 95
5.3 Biomarker 95
5.3.1 Biomarker in Clinical Trials 96
5.4 Classification of Biomarkers Based on Clinical Trials 97
5.4.1 Diagnostic Biomarker 98
5.4.2 Predictive Biomarker 99
5.4.3 Prognostic Biomarker 100
5.4.4 Staging Biomarker 100
5.5 Classification Based on Characteristics 101
5.5.1 Molecular Biomarkers 101
5.5.1.1 Chemical Biomarkers 101
5.5.1.2 Biomarkers for Proteins 101
5.5.1.3 Genetic Biomarkers 102
5.5.2 Cellular Biomarkers 102
5.5.3 Imaging Biomarkers 103
5.6 Wearable Sensors 104
5.6.1 Devices for Detecting Biological Fluids 105
5.6.1.1 Glucose Sensors 105
5.6.1.2 Lactate Sensors 106
5.6.1.3 pH Sensors 107
5.6.1.4 Cholesterol 108
5.7 Physiological Activities and External Stimuli 109
5.7.1 Pulse Rate 109
5.7.2 Respiration 110
5.7.3 Diabetic Detection with Acetone 110
5.7.4 Alcohol Level Detection 111
5.7.5 Hydration/Dehydration 112
5.7.6 Temperature 112
5.7.7 Tracking of Movements and Activities 113
5.7.8 Strain and Pressure 113
5.7.9 Gas Sensors 114
5.8 Applications of Sensors 114
5.8.1 Glove Immunosensor 115
5.8.2 Sweat Biomarkers 116
5.8.2.1 Electrochemical Biosensors 116
5.8.2.2 Sweat Biomarkers for Chronic Disease Detection 117
5.8.2.3 Hepatitis B Amperometric Immunosensor 117
5.9 Conclusion 118
References 119
6 Smart Wound Guard 121
Nagaraj S.
6.1 Introduction 121
6.1.1 Background and Significance of Chronic Wounds 121
6.1.2 Limitations of Traditional Wound Care Methods 122
6.1.3 Emergence of Wearable Electronics in Healthcare 122
6.1.4 Objective of the Chapter 122
6.2 Literature Review 122
6.3 Design and Development of Wearable Plaster 124
6.3.1 Selection of Materials and Components 124
6.3.2 Sensor Integration for Real-Time Monitoring 125
6.3.3 Development of Automatic Drug Delivery System 126
6.3.4 Customization for Individual Patient Needs 126
6.3.5 Prototype Development Process 127
6.3.6 Analysis of Sensed Molecules 128
6.3.6.1 PH Monitoring 128
6.3.6.2 Glucose Monitoring 128
6.3.6.3 Protein Monitoring 129
6.4 Implementation and Testing 129
6.4.1 Evaluation of Sensor Accuracy and Reliability 129
6.4.2 Pilot Study Design and Methodology 130
6.4.3 Data Collection and Analysis 130
6.4.4 Assessment of Wearable Plaster Performance 130
6.5 Advanced Features and Environmental Sustainability 131
6.5.1 Self-Powered Operation 131
6.5.2 Real-Time Alerts and Suggestions 131
6.5.3 Autonomous Medication Delivery 131
6.5.4 Eco-Friendly Design 132
6.5.5 Reducing Healthcare Costs 132
6.6 Flexibility and Sustainability 132
6.6.1 Sensors 133
6.6.2 Antenna 134
6.6.3 Solar Panel 134
6.6.4 Outer Layer 134
6.7 Conclusion 135
References 136
7 Integration of Artificial Intelligence and Machine Learning into Wearable Health Technologies 137
Balraj Kumar
7.1 Introduction 138
7.1.1 Types of Wearable Health Technologies 139
7.1.2 Key Features and Functions 139
7.1.3 Benefits of Wearable Health Technologies 140
7.2 AI and ML in Healthcare 141
7.3 Role of AI and ML in Wearable Health Technologies 143
7.4 Examples of AI and ML Methods in Wearable Health Solutions 146
7.5 Case Study 147
7.5.1 Case Study: Real-Time Health Monitoring with Wearable Devices 147
7.5.1.1 Challenge 147
7.5.1.2 Objectives 147
7.5.1.3 Implementation 148
7.5.1.4 Results 149
7.6 Challenges of AI AND ML Integration into Wearable Health Technologies 150
7.7 Resolving the Hurdles of AI and ML Integration in Wearable Health Technologies 152
7.8 Research Roadmap of Future 153
7.9 Conclusion 154
References 155
8 Empowering Health: The Fusion of AI and Machine Learning in Wearable Technologies 159
Yerumbu Nandakishora, S. Prasad Jones Christydass, K. V. J. Bhargav and S. Suresh Kumar
8.1 Introduction 160
8.2 HAR Using Traditional ML and DL Algorithms 163
8.3 Profile Similarity-Based Personalized Federated Learning (PS-PFL) for Healthcare 168
8.4 A Wearable Posture Recognition Device Using AI for Healthcare IoT 170
8.5 AI-Enhanced Posture Recognition for Healthcare Wearables by IoT 173
8.6 Conclusions 178
References 179
9 Human-Computer Interaction in Wearable Health Technologies 183
S. Hemalatha, K. Jothimani, Thangarajan R. and S. Selvaraj
9.1 Introduction 184
9.1.1 Background 184
9.1.2 Significance of HCI in Wearable Health Technologies 184
9.1.2.1 User-Centered Design 184
9.1.2.2 Intuitive Interfaces 184
9.1.2.3 Data Visualization and Interpretation 185
9.1.2.4 Adherence and Engagement 185
9.1.2.5 Privacy and Trust 185
9.1.2.6 Integration and Interoperability 185
9.1.3 Objectives of the Chapter 185
9.1.4 Overview of Wearable Health Technologies 186
9.1.5 Multimodal Fusion 188
9.2 Human-Computer Interaction (HCI) Fundamentals (SH) 188
9.2.1 Principles of HCI in Healthcare 188
9.2.2 Importance of UX Design in Wearable Health Technologies 190
9.2.3 HCI Design Process Overview 190
9.3 Prototyping and Iterative Design Approaches 191
9.4 User-Centered Design in Wearable Health Technologies 192
9.4.1 Understanding User Needs and Context 192
9.4.1.1 User Research and Profiling 192
9.4.1.2 Understanding User Contexts 192
9.4.1.3 Usability and Accessibility Considerations 193
9.4.1.4 Integration with Existing Routines and Workflows 193
9.4.1.5 Iterative Design and User Feedback 193
9.4.2 Designing for Accessibility and Inclusivity 193
9.4.3 Prototyping and Iterative Design Approaches 194
9.4.3.1 Prototyping 194
9.4.3.2 Iterative Design Process 195
9.5 Usability Testing and Evaluation 196
9.5.1 Usability Metrics and Evaluation Methods 196
9.6 Conducting Usability Studies with Wearable Devices 197
9.7 Analyzing and Interpreting Usability Data 198
9.8 Feedback Mechanisms and User Engagement 200
9.8.1 Importance of Real-Time Feedback in Health Monitoring 200
9.8.2 Designing Effective Feedback Systems 201
9.8.3 Gamification and Behavioral Strategies for User Engagement 201
9.9 Personalization Strategies 203
9.9.1 Adaptive Systems and Machine Learning in Personalization 204
9.9.2 Ethical Considerations in Personalized Health Technologies 205
9.10 Challenges and Future Directions 206
9.10.1 Data Privacy and Security Concerns 206
9.10.2 Interdisciplinary Collaboration in HCI for Health Technologies 207
9.10.3 Emerging Technologies and Trends in Wearable Health 208
9.11 Case Studies and Examples 208
9.11.1 Case Study 1: Wearable Fitness Tracker UX Design 208
9.11.2 Case Study 2: Remote Health Monitoring System 210
9.11.3 Lessons Learned and Best Practices 211
9.12 Conclusion and Recommendations 211
9.12.1 Summary of Key Points 211
9.12.2 Implications for Research and Practice 211
9.12.3 Future Directions in HCI for Wearable Health Technologies 212
References 212
10 Classification of Emotions from EEG Signals with Optimization Algorithms and Deep Learning Approaches 215
Y. Sowjanya Kumari, D.N.V. Syma Kumar and V. Venkata Praveen Kumar
10.1 Introduction 216
10.1.1 Acquisition of EEG Signals by the Brain 217
10.1.2 EEG Signal Processing 218
10.2 Related Work 219
10.3 Proposed Work 220
10.3.1 Particle Swarm Optimization (PSO) 220
10.3.1.1 Key Elements of PSO 221
10.3.1.2 Procedural Steps of PSO 222
10.4 Lstm 223
10.5 Gru 227
10.6 Proposed Methodology 230
10.6.1 Procedure 1 230
10.6.2 Procedure 2 230
10.7 Results and Discussions 231
10.7.1 Confusion Matrix 232
10.7.2 Precision, Recall, F1-Score, and Support 232
10.8 Conclusion 234
Data Availability 234
References 235
11 Wearable Devices for Injury Prevention and Rehabilitation 239
Vishnu Mittal, Pushkar Upadhyay and Anjali Sharma
11.1 Introduction 240
11.1.1 Generalization of Human Physiological Parameters 243
11.1.2 Forecasting Running Injuries and Efficiency Using Wearable Technology 244
11.1.3 Transduction Systems for Body Parameter Measurement 245
11.2 Why are Wearable Devices Better 247
11.3 Case Study and Real-World Instances of Wearable Technology 249
11.3.1 Case Study 1: Tracking Health Indicators 249
11.3.2 Case Study 2: Monitoring Sports Performance 249
11.3.3 Case Study 3: Controlling Athletes in the Weight Room 250
11.3.4 Case Study 4: Tracking Sleep 250
11.3.5 Case Study 5: Remote Monitoring Systems 251
11.3.6 Case Study 6: Mobile Phone Technology 252
11.3.7 Case Study 7: Integrating Physiological Monitoring 252
11.3.8 Case Study 8: Bio-Chemical Sensors 253
11.3.9 Case Study 9: Medical Alert System 253
11.3.10 Case Study 10: Health and Wellness Monitoring 254
11.3.11 Case Study 11: Smart Home Projects 254
11.4 Conclusions and Future Directions 255
References 256
12 Muscles in Motion: Wearables for Sports and Fitness 263
Pushkar Upadhyay, Vishnu Mittal and Rameshwar Dass
12.1 Introduction 264
12.2 Understanding Muscle Movement 267
12.2.1 Types of Muscles (Skeletal, Smooth, and Cardiac) 267
12.2.1.1 Striated Muscle 267
12.2.1.2 Smooth Muscle 268
12.2.2 Muscle Structure and Function 268
12.3 Wearable Technology in Sports and Fitness 269
12.3.1 Evolution of Wearables in Sports and Fitness 269
12.3.2 Wearable Tools for Monitoring Physiological Data During Exercise 269
12.4 Types of Wearable Devices 270
12.4.1 Movement Pattern and Velocity Tracking Using Inertial Measurement Units (IMUs) 270
12.4.2 Technological Developments in Force Sensing for Improved Force Measurement 271
12.4.3 Precise Foot Pressure Analysis by Pressure Sensors 272
12.5 Applications of Wearables in Sports and Fitness 272
12.5.1 Mechanomyogram (EMG) Method 273
12.5.2 Autonomic Nervous System (ANS) Correlation 274
12.5.3 Machine Learning Technique 275
12.5.4 Injury Prevention and Rehabilitation 275
12.5.5 OptimEye S 5 276
12.5.6 FIT Guard 276
12.5.7 Zephyr Performance Systems 276
12.5.8 The Q-Collar 277
12.5.9 Threshold Limit Sensors 277
12.5.10 Smart-Foam 277
12.5.11 Wearable Footwear and Accessories 278
12.6 Challenges and Future Directions 278
12.6.1 Difficulties in Applying Wearable Technology to Resistance Training Research 278
12.6.1.1 Accuracy and Reliability of Measurements 278
12.6.1.2 Validation and Standardization of Wearable Technology 279
12.6.2 Ethical Considerations and Privacy Concerns 279
12.7 Conclusion 280
References 281
13 Evolution of Wearable Technology in Sports and Fitness 289
Kanchan Bisht, Desu Surya Tejaswi, C. Manjulatha, Surabhi Das and Yogitha Gunupuru
13.1 Introduction 290
13.1.1 History of Wearable Technology 290
13.1.2 Key Features and Functionalities of Wearable Technologies 291
13.2 Types of Wearable Technologies 292
13.3 Applications of Wearable Technologies in Sports and Fitness 293
13.3.1 Performance Monitoring 294
13.3.1.1 Running and Cycling 294
13.3.1.2 Team Sports 294
13.3.2 Injury Prevention 295
13.3.2.1 Smart Insoles 295
13.3.2.2 Motion Sensors 295
13.3.3 Recovery Enhancement 295
13.3.3.1 WHOOP Strap 296
13.3.3.2 Oura Ring 296
13.3.4 Personalized Training 296
13.3.4.1 Training Apps 296
13.3.4.2 Smart Equipment 296
13.3.5 Real-Time Feedback 297
13.3.5.1 Cycling 297
13.3.5.2 Swimming 297
13.4 Benefits of Wearable Technologies 297
13.4.1 Enhanced Performance 298
13.4.2 Improved Health and Well-Being 298
13.4.3 Data-Driven Decisions 298
13.4.4 Increased Motivation 299
13.5 Challenges and Limitations 299
13.5.1 Data Accuracy 299
13.5.2 Privacy Concerns 300
13.5.3 Cost and Accessibility 300
13.6 Future Trends in Wearable Technologies 301
13.6.1 Integration with AI and Machine Learning 301
13.6.2 Advanced Biometric Monitoring 301
13.6.3 Enhanced Connectivity 301
13.6.4 Virtual and Augmented Reality 302
13.6.5 Sustainable and Eco-Friendly Wearables 302
13.7 Conclusion 303
References 303
14 Architecture, Material, Process, and Application of Bio-FETs 307
Yapashetti Rajinikanth, Suman Lata Tripathi and Sandhya Avasthi
14.1 Introduction 308
14.2 Literature Review 309
14.3 Architecture of Bio-FET 310
14.4 Bio-FET Mechanism of Operation 310
14.5 Bio-FET Working Principle 310
14.6 Bio-FET Types and Fabrication Steps 311
14.7 Optimization 312
14.8 Material Specification 312
14.9 Applications of Bio-FET 314
14.9.1 Clinical Investigations 314
14.9.2 Environmental Assessment 314
14.9.3 Food Consumption 314
14.9.4 Biological Research 314
14.9.5 Treatments 315
14.9.6 Individual Therapy 315
14.10 Conventional MOSFET Comparison 315
14.10.1 Organization and Function 315
14.10.2 Specifics and Sensitivities 315
14.10.3 Resources 315
14.10.4 Supplies 316
14.10.5 Integration 316
14.11 Advanced FET Architectures as Biosensor 316
14.12 Challenges and Future Scope 318
14.13 Conclusion 318
References 319
15 Future Directions and Innovations in Wearable Technologies 321
Payal Bansal, Sudev Dutta and Murugan K.
15.1 Introduction 322
15.2 Empowering Wearables 323
15.3 Piezoelectric Wearable Technology 325
15.3.1 Harvesting Energy from Human Motion 327
15.3.2 Piezoelectric-Pressure Radars 329
15.3.3 Wearable Medical Sensors 330
15.4 Triboelectric Wearables 331
15.5 Electromagnetic Sensors 332
15.6 Thermal-Based Sensors 333
15.7 Comparison of Wearable Sensors 334
15.8 Conclusions 335
References 336
16 Future Horizons: Exploring the Evolution of Wearable and Flexible Health Devices 343
Himanshu Sharma, Pooja Mittal, Gurdev and Vishnu Mittal
16.1 Introduction 344
16.2 Characteristics of Wearable Technologies 345
16.3 Types of Wearable Technologies 346
16.3.1 Wearable Health Technology 346
16.3.2 Wearable Textile Technologies 347
16.3.3 Wearable Consumer Electronics 348
16.4 Review of Wearable Technologies in Healthcare 348
16.4.1 Example of a Product on the Market 352
16.4.2 The Approach of Wearable Technology 354
16.4.3 The Public and Personal Safety 355
16.4.4 Business 356
16.4.5 Research 356
16.4.6 Production 356
16.4.7 Sales 356
16.4.8 Service 357
16.4.9 Tourism 357
16.4.10 People with Impairments 357
16.4.11 Health 358
16.4.12 Entertainment 358
16.5 Conclusion 358
References 359
17 Threads of Creativity: Exploring Smart Fabric Integration in Contemporary Mural Art 363
Prabhjot Kaur and Rohita Sharma
17.1 Introduction 363
17.2 Smart Fabric Integration 365
17.2.1 The Benefits of Smart Fabric Integration 365
17.2.2 Challenges and Considerations 366
17.2.3 Technical Complexity 366
17.2.4 Maintenance and Durability 366
17.2.5 Privacy and Security 366
17.2.6 Examples of Smart Fabric Integration in Contemporary Mural Art 367
17.2.6.1 The Light Weaver by Studio Drift (2018) 367
17.2.6.2 The Singing Wall by TeamLab (2018) 368
17.2.6.3 The Breathing Wall by Viktoria Modesta (2019) 368
17.2.6.4 The Interactive Wall by Refik Anadol (2019) 368
17.3 Importance of Traditional Art Forms in the Museum 370
17.3.1 Embroidery and Textiles 370
17.3.2 Calligraphy and Manuscripts 371
17.3.3 Potential for Smart Fabric Integration in the Museum's Exhibits 371
17.3.3.1 Ancient Civilizations 372
17.3.3.2 Classical Antiquity 372
17.3.3.3 Medieval and Renaissance Periods 373
17.3.3.4 Modern and Contemporary Era 373
17.3.3.5 Sensing Capabilities 373
17.3.3.6 Lighting and Illumination 374
17.3.3.7 Communication and Connectivity 374
17.3.3.8 Thermal Regulation 374
17.3.3.9 Biomedical and Healthcare Applications 374
17.4 Integration of Smart Fabrics in Mural Art 375
17.4.1 Integration of Smart Fabrics in Mural Art at the Virasat-e-Khalsa Museum 376
17.5 Conclusion 378
Bibliography 379
18 Non-Invasive Blood Sugar Detection 381
Abhishek Kumar and Vishal Gupta
18.1 Introduction 381
18.1.1 Invasive Method 382
18.1.2 Non-Invasive Method 383
18.2 Sweat Composition 383
18.2.1 Sweat-Based Glucose Monitoring 384
18.2.1.1 Sweat Sensors 384
18.3 Experiment 386
18.4 Challenges 389
18.5 Pros and Cons 390
18.5.1 Pros 390
18.5.2 Cons 390
18.6 Conclusion 391
References 391
19 A Fast Scalable and Pipelined VLSI Transform Architecture for Walsh-Hadamard 393
Sudip Ghosh and Suman Lata Tripathi
19.1 Introduction and Related Works 394
19.2 Mathematical Background 397
19.3 Proposed Algorithm for HVMA 398
19.4 Pseudo-Code for Generic Algorithm 405
19.5 Description of Generic Algorithm 408
19.6 Analysis and Discussion 410
19.7 Datapath and Controller 412
19.8 Experimental Results 415
19.9 Conclusion and Scope of Future Work 417
References 418
Index 421
1 History of Smart Textiles and Wearables 1
K. Jothimani, S. Hemalatha, S. Selvaraj and R. Thangarajan
1.1 Introduction 2
1.2 Early Concepts and Historical Background 2
1.2.1 Incorporation of Technology in Textiles: Ancient Practices 3
1.2.2 Industrial Revolution and Textile Mechanization 4
1.2.3 Emergence of Functional Textiles 5
1.3 Advancements in Materials and Technologies 6
1.3.1 Conductive Fabrics and Fibers 7
1.3.2 Flexible Electronics and Sensors 8
1.3.3 Energy Harvesting and Power Management 9
1.4 Evolution of Wearable Technologies 9
1.4.1 Early Prototypes and Limitations 10
1.4.1.1 Limitations of Early Prototypes 10
1.4.2 Miniaturization and Integration 11
1.4.3 User Experience Enhancements 12
1.5 Key Milestones and Innovations 12
1.5.1 Wearable Fitness Trackers 12
1.5.1.1 Working Details of Fitness Tracker 14
1.5.2 Smart Clothing for Medical Monitoring 16
1.5.3 Fashion-Tech Collaborations 16
1.5.4 Role of Data Analytics and Connectivity 17
1.5.4.1 IoT and Smart Textile Integration 18
1.5.4.2 Artificial Intelligence in Wearables 18
1.5.4.3 Data Privacy and Security Concerns 19
1.5.5 Current Trends and Future Prospects 20
1.5.5.1 Augmented Reality and Virtual Reality Applications 20
1.5.5.2 Environmental Sensing and Sustainability Efforts 21
1.5.5.3 Challenges and Opportunities for Further Research 22
1.5.5.4 Opportunities 23
1.6 Conclusion 24
References 25
2 Smart Textiles in Healthcare 27
Harpreet Kaur Channi, Surinder Kaur and Ramandeep Sandhu
2.1 Introduction 28
2.2 Importance of Smart Textiles In Healthcare 29
2.3 Evolution of Smart Textiles in Healthcare 31
2.4 Fabrication and Integration of Sensors in Smart Textiles 33
2.4.1 Applications of Smart Textiles in Healthcare 35
2.5 Key Technologies in Smart Textiles 37
2.5.1 Continuous Health Monitoring 38
2.5.2 Enhanced Patient Comfort and Compliance 40
2.6 Remote Patient Monitoring 41
2.7 Challenges and Considerations 44
2.8 Case Studies and Examples 46
2.8.1 University of Pittsburgh Medical Center (UPMC) Health Plan 46
2.8.2 University of California San Francisco's Chronic Disease Management Program 47
2.8.3 Partners HealthCare's Post-Acute Care Remote Monitoring Program 48
2.8.4 University of Mississippi Medical Center's Telepsychiatry Program 48
2.9 Future Directions and Opportunities 48
2.9.1 Opportunities for Research and Development 50
2.9.2 Potential Impact on Healthcare Delivery 52
2.10 Conclusion 53
References 54
3 Smart Textiles and Its Application in the Healthcare Sector 59
Surabhi Das, C. Manjulatha, Desu Surya Tejaswi, Kanchan Bisht and Anita Rani
3.1 Introduction 60
3.2 Monitoring of Physiological Characteristics 61
3.2.1 Cardiovascular Activity 62
3.2.2 Electrodermal Activity 62
3.2.2.1 Breathing 63
3.2.2.2 Blood Pressure 63
3.2.2.3 Body Movement 63
3.3 Distribution of Body Fluids and Investigation of Perspiration 64
3.4 Concentration of Blood Oxygen 65
3.5 Applications and Trends for Healthcare Sectorin Smart Textiles 65
3.5.1 Difficulties Faced by Smart Textiles in Healthcare Sector 67
3.5.2 Fit and Comfort 67
3.5.3 Utilization Simplicity 68
3.5.4 Approval From the Medical Community 68
3.5.5 Ethics 69
3.5.6 Side Effects of Smart Wearable Textile Materials 69
3.6 Conclusion 70
References 70
4 Bio-Integrated Fabrics: A Comprehensive Look at Smart Textiles for Enhanced Healthcare 73
Devender Kumar and Seema Mishra
4.1 Introduction 74
4.2 Background 75
4.2.1 Technical Perspective 75
4.2.2 Applications and Future Directions 76
4.3 Revolutionizing Healthcare: Core Applications of Bio-Integrated Fabrics 78
4.3.1 Continuous Health Monitoring 79
4.3.2 Rehabilitation and Physical Therapy 79
4.3.3 Wearable Therapeutics 79
4.3.3.1 Thermal Therapy 80
4.3.3.2 Patient Monitoring in Clinical Settings 80
4.3.3.3 Elderly Care and Assisted Living 80
4.4 Beyond Applications: Unveiling the Technical Aspects 80
4.4.1 Materials and Conductive Fibers 81
4.4.2 Sensor Integration 81
4.4.3 Flexible Electronics 81
4.4.4 Energy Harvesting and Storage 82
4.4.5 Data Processing and Communication 82
4.5 Challenges and Considerations for Widespread Adoption 82
4.5.1 Technical Challenges 85
4.5.1.1 Durability and Washability 85
4.5.1.2 Power Supply and Energy Efficiency 85
4.5.1.3 Signal Interference and Data Integrity 85
4.5.2 Economic Challenges 85
4.5.2.1 High Production Costs 85
4.5.2.2 Market Acceptance and Adoption 86
4.5.3 Regulatory and Ethical Challenges 86
4.5.3.1 Regulatory Approval 86
4.5.3.2 Data Privacy and Security 86
4.5.4 Social and Ethical Considerations 86
4.5.4.1 User Comfort and Acceptance 86
4.5.4.2 Accessibility and Equity 87
4.5.5 Side Effects 87
4.5.5.1 Skin Sensitivities 88
4.5.5.2 Sleep Disruption 88
4.5.5.3 Data Overload and Privacy Concerns 88
4.5.5.4 Overdependence and Obsession on Metrics 88
4.6 Conclusion: The Future of Healthcare is Woven with Smart Textiles 89
References 89
5 Printed Flexible Wearable Sensor for Monitoring of Biological Parameters and Disease Management 93
S. Saranya, S. Suresh Kumar, Y. Nandakishora and S. Prasad Jones Christydass
5.1 Introduction of Biomarkers and Biosensors 94
5.2 Working of Biosensor 95
5.3 Biomarker 95
5.3.1 Biomarker in Clinical Trials 96
5.4 Classification of Biomarkers Based on Clinical Trials 97
5.4.1 Diagnostic Biomarker 98
5.4.2 Predictive Biomarker 99
5.4.3 Prognostic Biomarker 100
5.4.4 Staging Biomarker 100
5.5 Classification Based on Characteristics 101
5.5.1 Molecular Biomarkers 101
5.5.1.1 Chemical Biomarkers 101
5.5.1.2 Biomarkers for Proteins 101
5.5.1.3 Genetic Biomarkers 102
5.5.2 Cellular Biomarkers 102
5.5.3 Imaging Biomarkers 103
5.6 Wearable Sensors 104
5.6.1 Devices for Detecting Biological Fluids 105
5.6.1.1 Glucose Sensors 105
5.6.1.2 Lactate Sensors 106
5.6.1.3 pH Sensors 107
5.6.1.4 Cholesterol 108
5.7 Physiological Activities and External Stimuli 109
5.7.1 Pulse Rate 109
5.7.2 Respiration 110
5.7.3 Diabetic Detection with Acetone 110
5.7.4 Alcohol Level Detection 111
5.7.5 Hydration/Dehydration 112
5.7.6 Temperature 112
5.7.7 Tracking of Movements and Activities 113
5.7.8 Strain and Pressure 113
5.7.9 Gas Sensors 114
5.8 Applications of Sensors 114
5.8.1 Glove Immunosensor 115
5.8.2 Sweat Biomarkers 116
5.8.2.1 Electrochemical Biosensors 116
5.8.2.2 Sweat Biomarkers for Chronic Disease Detection 117
5.8.2.3 Hepatitis B Amperometric Immunosensor 117
5.9 Conclusion 118
References 119
6 Smart Wound Guard 121
Nagaraj S.
6.1 Introduction 121
6.1.1 Background and Significance of Chronic Wounds 121
6.1.2 Limitations of Traditional Wound Care Methods 122
6.1.3 Emergence of Wearable Electronics in Healthcare 122
6.1.4 Objective of the Chapter 122
6.2 Literature Review 122
6.3 Design and Development of Wearable Plaster 124
6.3.1 Selection of Materials and Components 124
6.3.2 Sensor Integration for Real-Time Monitoring 125
6.3.3 Development of Automatic Drug Delivery System 126
6.3.4 Customization for Individual Patient Needs 126
6.3.5 Prototype Development Process 127
6.3.6 Analysis of Sensed Molecules 128
6.3.6.1 PH Monitoring 128
6.3.6.2 Glucose Monitoring 128
6.3.6.3 Protein Monitoring 129
6.4 Implementation and Testing 129
6.4.1 Evaluation of Sensor Accuracy and Reliability 129
6.4.2 Pilot Study Design and Methodology 130
6.4.3 Data Collection and Analysis 130
6.4.4 Assessment of Wearable Plaster Performance 130
6.5 Advanced Features and Environmental Sustainability 131
6.5.1 Self-Powered Operation 131
6.5.2 Real-Time Alerts and Suggestions 131
6.5.3 Autonomous Medication Delivery 131
6.5.4 Eco-Friendly Design 132
6.5.5 Reducing Healthcare Costs 132
6.6 Flexibility and Sustainability 132
6.6.1 Sensors 133
6.6.2 Antenna 134
6.6.3 Solar Panel 134
6.6.4 Outer Layer 134
6.7 Conclusion 135
References 136
7 Integration of Artificial Intelligence and Machine Learning into Wearable Health Technologies 137
Balraj Kumar
7.1 Introduction 138
7.1.1 Types of Wearable Health Technologies 139
7.1.2 Key Features and Functions 139
7.1.3 Benefits of Wearable Health Technologies 140
7.2 AI and ML in Healthcare 141
7.3 Role of AI and ML in Wearable Health Technologies 143
7.4 Examples of AI and ML Methods in Wearable Health Solutions 146
7.5 Case Study 147
7.5.1 Case Study: Real-Time Health Monitoring with Wearable Devices 147
7.5.1.1 Challenge 147
7.5.1.2 Objectives 147
7.5.1.3 Implementation 148
7.5.1.4 Results 149
7.6 Challenges of AI AND ML Integration into Wearable Health Technologies 150
7.7 Resolving the Hurdles of AI and ML Integration in Wearable Health Technologies 152
7.8 Research Roadmap of Future 153
7.9 Conclusion 154
References 155
8 Empowering Health: The Fusion of AI and Machine Learning in Wearable Technologies 159
Yerumbu Nandakishora, S. Prasad Jones Christydass, K. V. J. Bhargav and S. Suresh Kumar
8.1 Introduction 160
8.2 HAR Using Traditional ML and DL Algorithms 163
8.3 Profile Similarity-Based Personalized Federated Learning (PS-PFL) for Healthcare 168
8.4 A Wearable Posture Recognition Device Using AI for Healthcare IoT 170
8.5 AI-Enhanced Posture Recognition for Healthcare Wearables by IoT 173
8.6 Conclusions 178
References 179
9 Human-Computer Interaction in Wearable Health Technologies 183
S. Hemalatha, K. Jothimani, Thangarajan R. and S. Selvaraj
9.1 Introduction 184
9.1.1 Background 184
9.1.2 Significance of HCI in Wearable Health Technologies 184
9.1.2.1 User-Centered Design 184
9.1.2.2 Intuitive Interfaces 184
9.1.2.3 Data Visualization and Interpretation 185
9.1.2.4 Adherence and Engagement 185
9.1.2.5 Privacy and Trust 185
9.1.2.6 Integration and Interoperability 185
9.1.3 Objectives of the Chapter 185
9.1.4 Overview of Wearable Health Technologies 186
9.1.5 Multimodal Fusion 188
9.2 Human-Computer Interaction (HCI) Fundamentals (SH) 188
9.2.1 Principles of HCI in Healthcare 188
9.2.2 Importance of UX Design in Wearable Health Technologies 190
9.2.3 HCI Design Process Overview 190
9.3 Prototyping and Iterative Design Approaches 191
9.4 User-Centered Design in Wearable Health Technologies 192
9.4.1 Understanding User Needs and Context 192
9.4.1.1 User Research and Profiling 192
9.4.1.2 Understanding User Contexts 192
9.4.1.3 Usability and Accessibility Considerations 193
9.4.1.4 Integration with Existing Routines and Workflows 193
9.4.1.5 Iterative Design and User Feedback 193
9.4.2 Designing for Accessibility and Inclusivity 193
9.4.3 Prototyping and Iterative Design Approaches 194
9.4.3.1 Prototyping 194
9.4.3.2 Iterative Design Process 195
9.5 Usability Testing and Evaluation 196
9.5.1 Usability Metrics and Evaluation Methods 196
9.6 Conducting Usability Studies with Wearable Devices 197
9.7 Analyzing and Interpreting Usability Data 198
9.8 Feedback Mechanisms and User Engagement 200
9.8.1 Importance of Real-Time Feedback in Health Monitoring 200
9.8.2 Designing Effective Feedback Systems 201
9.8.3 Gamification and Behavioral Strategies for User Engagement 201
9.9 Personalization Strategies 203
9.9.1 Adaptive Systems and Machine Learning in Personalization 204
9.9.2 Ethical Considerations in Personalized Health Technologies 205
9.10 Challenges and Future Directions 206
9.10.1 Data Privacy and Security Concerns 206
9.10.2 Interdisciplinary Collaboration in HCI for Health Technologies 207
9.10.3 Emerging Technologies and Trends in Wearable Health 208
9.11 Case Studies and Examples 208
9.11.1 Case Study 1: Wearable Fitness Tracker UX Design 208
9.11.2 Case Study 2: Remote Health Monitoring System 210
9.11.3 Lessons Learned and Best Practices 211
9.12 Conclusion and Recommendations 211
9.12.1 Summary of Key Points 211
9.12.2 Implications for Research and Practice 211
9.12.3 Future Directions in HCI for Wearable Health Technologies 212
References 212
10 Classification of Emotions from EEG Signals with Optimization Algorithms and Deep Learning Approaches 215
Y. Sowjanya Kumari, D.N.V. Syma Kumar and V. Venkata Praveen Kumar
10.1 Introduction 216
10.1.1 Acquisition of EEG Signals by the Brain 217
10.1.2 EEG Signal Processing 218
10.2 Related Work 219
10.3 Proposed Work 220
10.3.1 Particle Swarm Optimization (PSO) 220
10.3.1.1 Key Elements of PSO 221
10.3.1.2 Procedural Steps of PSO 222
10.4 Lstm 223
10.5 Gru 227
10.6 Proposed Methodology 230
10.6.1 Procedure 1 230
10.6.2 Procedure 2 230
10.7 Results and Discussions 231
10.7.1 Confusion Matrix 232
10.7.2 Precision, Recall, F1-Score, and Support 232
10.8 Conclusion 234
Data Availability 234
References 235
11 Wearable Devices for Injury Prevention and Rehabilitation 239
Vishnu Mittal, Pushkar Upadhyay and Anjali Sharma
11.1 Introduction 240
11.1.1 Generalization of Human Physiological Parameters 243
11.1.2 Forecasting Running Injuries and Efficiency Using Wearable Technology 244
11.1.3 Transduction Systems for Body Parameter Measurement 245
11.2 Why are Wearable Devices Better 247
11.3 Case Study and Real-World Instances of Wearable Technology 249
11.3.1 Case Study 1: Tracking Health Indicators 249
11.3.2 Case Study 2: Monitoring Sports Performance 249
11.3.3 Case Study 3: Controlling Athletes in the Weight Room 250
11.3.4 Case Study 4: Tracking Sleep 250
11.3.5 Case Study 5: Remote Monitoring Systems 251
11.3.6 Case Study 6: Mobile Phone Technology 252
11.3.7 Case Study 7: Integrating Physiological Monitoring 252
11.3.8 Case Study 8: Bio-Chemical Sensors 253
11.3.9 Case Study 9: Medical Alert System 253
11.3.10 Case Study 10: Health and Wellness Monitoring 254
11.3.11 Case Study 11: Smart Home Projects 254
11.4 Conclusions and Future Directions 255
References 256
12 Muscles in Motion: Wearables for Sports and Fitness 263
Pushkar Upadhyay, Vishnu Mittal and Rameshwar Dass
12.1 Introduction 264
12.2 Understanding Muscle Movement 267
12.2.1 Types of Muscles (Skeletal, Smooth, and Cardiac) 267
12.2.1.1 Striated Muscle 267
12.2.1.2 Smooth Muscle 268
12.2.2 Muscle Structure and Function 268
12.3 Wearable Technology in Sports and Fitness 269
12.3.1 Evolution of Wearables in Sports and Fitness 269
12.3.2 Wearable Tools for Monitoring Physiological Data During Exercise 269
12.4 Types of Wearable Devices 270
12.4.1 Movement Pattern and Velocity Tracking Using Inertial Measurement Units (IMUs) 270
12.4.2 Technological Developments in Force Sensing for Improved Force Measurement 271
12.4.3 Precise Foot Pressure Analysis by Pressure Sensors 272
12.5 Applications of Wearables in Sports and Fitness 272
12.5.1 Mechanomyogram (EMG) Method 273
12.5.2 Autonomic Nervous System (ANS) Correlation 274
12.5.3 Machine Learning Technique 275
12.5.4 Injury Prevention and Rehabilitation 275
12.5.5 OptimEye S 5 276
12.5.6 FIT Guard 276
12.5.7 Zephyr Performance Systems 276
12.5.8 The Q-Collar 277
12.5.9 Threshold Limit Sensors 277
12.5.10 Smart-Foam 277
12.5.11 Wearable Footwear and Accessories 278
12.6 Challenges and Future Directions 278
12.6.1 Difficulties in Applying Wearable Technology to Resistance Training Research 278
12.6.1.1 Accuracy and Reliability of Measurements 278
12.6.1.2 Validation and Standardization of Wearable Technology 279
12.6.2 Ethical Considerations and Privacy Concerns 279
12.7 Conclusion 280
References 281
13 Evolution of Wearable Technology in Sports and Fitness 289
Kanchan Bisht, Desu Surya Tejaswi, C. Manjulatha, Surabhi Das and Yogitha Gunupuru
13.1 Introduction 290
13.1.1 History of Wearable Technology 290
13.1.2 Key Features and Functionalities of Wearable Technologies 291
13.2 Types of Wearable Technologies 292
13.3 Applications of Wearable Technologies in Sports and Fitness 293
13.3.1 Performance Monitoring 294
13.3.1.1 Running and Cycling 294
13.3.1.2 Team Sports 294
13.3.2 Injury Prevention 295
13.3.2.1 Smart Insoles 295
13.3.2.2 Motion Sensors 295
13.3.3 Recovery Enhancement 295
13.3.3.1 WHOOP Strap 296
13.3.3.2 Oura Ring 296
13.3.4 Personalized Training 296
13.3.4.1 Training Apps 296
13.3.4.2 Smart Equipment 296
13.3.5 Real-Time Feedback 297
13.3.5.1 Cycling 297
13.3.5.2 Swimming 297
13.4 Benefits of Wearable Technologies 297
13.4.1 Enhanced Performance 298
13.4.2 Improved Health and Well-Being 298
13.4.3 Data-Driven Decisions 298
13.4.4 Increased Motivation 299
13.5 Challenges and Limitations 299
13.5.1 Data Accuracy 299
13.5.2 Privacy Concerns 300
13.5.3 Cost and Accessibility 300
13.6 Future Trends in Wearable Technologies 301
13.6.1 Integration with AI and Machine Learning 301
13.6.2 Advanced Biometric Monitoring 301
13.6.3 Enhanced Connectivity 301
13.6.4 Virtual and Augmented Reality 302
13.6.5 Sustainable and Eco-Friendly Wearables 302
13.7 Conclusion 303
References 303
14 Architecture, Material, Process, and Application of Bio-FETs 307
Yapashetti Rajinikanth, Suman Lata Tripathi and Sandhya Avasthi
14.1 Introduction 308
14.2 Literature Review 309
14.3 Architecture of Bio-FET 310
14.4 Bio-FET Mechanism of Operation 310
14.5 Bio-FET Working Principle 310
14.6 Bio-FET Types and Fabrication Steps 311
14.7 Optimization 312
14.8 Material Specification 312
14.9 Applications of Bio-FET 314
14.9.1 Clinical Investigations 314
14.9.2 Environmental Assessment 314
14.9.3 Food Consumption 314
14.9.4 Biological Research 314
14.9.5 Treatments 315
14.9.6 Individual Therapy 315
14.10 Conventional MOSFET Comparison 315
14.10.1 Organization and Function 315
14.10.2 Specifics and Sensitivities 315
14.10.3 Resources 315
14.10.4 Supplies 316
14.10.5 Integration 316
14.11 Advanced FET Architectures as Biosensor 316
14.12 Challenges and Future Scope 318
14.13 Conclusion 318
References 319
15 Future Directions and Innovations in Wearable Technologies 321
Payal Bansal, Sudev Dutta and Murugan K.
15.1 Introduction 322
15.2 Empowering Wearables 323
15.3 Piezoelectric Wearable Technology 325
15.3.1 Harvesting Energy from Human Motion 327
15.3.2 Piezoelectric-Pressure Radars 329
15.3.3 Wearable Medical Sensors 330
15.4 Triboelectric Wearables 331
15.5 Electromagnetic Sensors 332
15.6 Thermal-Based Sensors 333
15.7 Comparison of Wearable Sensors 334
15.8 Conclusions 335
References 336
16 Future Horizons: Exploring the Evolution of Wearable and Flexible Health Devices 343
Himanshu Sharma, Pooja Mittal, Gurdev and Vishnu Mittal
16.1 Introduction 344
16.2 Characteristics of Wearable Technologies 345
16.3 Types of Wearable Technologies 346
16.3.1 Wearable Health Technology 346
16.3.2 Wearable Textile Technologies 347
16.3.3 Wearable Consumer Electronics 348
16.4 Review of Wearable Technologies in Healthcare 348
16.4.1 Example of a Product on the Market 352
16.4.2 The Approach of Wearable Technology 354
16.4.3 The Public and Personal Safety 355
16.4.4 Business 356
16.4.5 Research 356
16.4.6 Production 356
16.4.7 Sales 356
16.4.8 Service 357
16.4.9 Tourism 357
16.4.10 People with Impairments 357
16.4.11 Health 358
16.4.12 Entertainment 358
16.5 Conclusion 358
References 359
17 Threads of Creativity: Exploring Smart Fabric Integration in Contemporary Mural Art 363
Prabhjot Kaur and Rohita Sharma
17.1 Introduction 363
17.2 Smart Fabric Integration 365
17.2.1 The Benefits of Smart Fabric Integration 365
17.2.2 Challenges and Considerations 366
17.2.3 Technical Complexity 366
17.2.4 Maintenance and Durability 366
17.2.5 Privacy and Security 366
17.2.6 Examples of Smart Fabric Integration in Contemporary Mural Art 367
17.2.6.1 The Light Weaver by Studio Drift (2018) 367
17.2.6.2 The Singing Wall by TeamLab (2018) 368
17.2.6.3 The Breathing Wall by Viktoria Modesta (2019) 368
17.2.6.4 The Interactive Wall by Refik Anadol (2019) 368
17.3 Importance of Traditional Art Forms in the Museum 370
17.3.1 Embroidery and Textiles 370
17.3.2 Calligraphy and Manuscripts 371
17.3.3 Potential for Smart Fabric Integration in the Museum's Exhibits 371
17.3.3.1 Ancient Civilizations 372
17.3.3.2 Classical Antiquity 372
17.3.3.3 Medieval and Renaissance Periods 373
17.3.3.4 Modern and Contemporary Era 373
17.3.3.5 Sensing Capabilities 373
17.3.3.6 Lighting and Illumination 374
17.3.3.7 Communication and Connectivity 374
17.3.3.8 Thermal Regulation 374
17.3.3.9 Biomedical and Healthcare Applications 374
17.4 Integration of Smart Fabrics in Mural Art 375
17.4.1 Integration of Smart Fabrics in Mural Art at the Virasat-e-Khalsa Museum 376
17.5 Conclusion 378
Bibliography 379
18 Non-Invasive Blood Sugar Detection 381
Abhishek Kumar and Vishal Gupta
18.1 Introduction 381
18.1.1 Invasive Method 382
18.1.2 Non-Invasive Method 383
18.2 Sweat Composition 383
18.2.1 Sweat-Based Glucose Monitoring 384
18.2.1.1 Sweat Sensors 384
18.3 Experiment 386
18.4 Challenges 389
18.5 Pros and Cons 390
18.5.1 Pros 390
18.5.2 Cons 390
18.6 Conclusion 391
References 391
19 A Fast Scalable and Pipelined VLSI Transform Architecture for Walsh-Hadamard 393
Sudip Ghosh and Suman Lata Tripathi
19.1 Introduction and Related Works 394
19.2 Mathematical Background 397
19.3 Proposed Algorithm for HVMA 398
19.4 Pseudo-Code for Generic Algorithm 405
19.5 Description of Generic Algorithm 408
19.6 Analysis and Discussion 410
19.7 Datapath and Controller 412
19.8 Experimental Results 415
19.9 Conclusion and Scope of Future Work 417
References 418
Index 421