Self-powered Sensors
A Path to Wearable Electronics
- 1st Edition - September 4, 2024
- Imprint: Academic Press
- Editors: Rajesh Kumar Dhanaraj, Prithi Samuel, Malathy Sathyamoorthy, Balamurugan Balusamy, Vinayakumar Ravi
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 7 9 2 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 7 9 3 - 8
Self-powered Sensors: A Path to Wearable Electronics features recent developments in chemical, photonic, pharmaceutical, microbiological, biomimetic, and bio-inspired approa… Read more
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Request a sales quoteSelf-powered Sensors: A Path to Wearable Electronics features recent developments in chemical, photonic, pharmaceutical, microbiological, biomimetic, and bio-inspired approaches for MEMS/NEMS and medicinal self-powered sensors. Unconventional nanomaterial sensors driven by self-sufficient energy are given a contemporary review, with a focus on the categorization of energy sources and comparisons of research involving self-powered solar, piezoresistive, triboelectric, and thermodynamic technologies. This book also focuses on the different techniques, materials, comparisons of fabrication of self-powered sensors as well as thermoelectric self-powered sensors and its implantable applications.
- Presents state-of-the-art technologies and advancements in the design and application of self-powered sensors
- Examines the advantages and disadvantages of self-powered nanomaterial sensors in terms of energy collecting techniques and sensing applications
- Reviews the incorporation of self-operating devices and novel uses for neuromorphic sensors
Researchers, post-docs, Ph.D. students, IT professionals, and R&D industry professionals in Computer Engineering, Electronics Engineering, Mechanical Engineering, and Automobile Engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Editor’s biographies
- Preface
- Chapter 1 Fundamentals and applications of self-powered sensing systems
- Abstract
- 1 Triboelectric generators
- 2 Piezoelectric generators
- 3 Piezoelectric energy harvesters
- 4 Hybrid energy harvester
- 5 Summary
- Further reading
- Chapter 2 Wearable and Portable Self-Powered Sensor Systems based on Emerging Energy Harvesting Technology
- Abstract
- 1 Introduction
- 2 Types of energy harvesting platforms
- 3 Conclusion
- References
- Chapter 3 Augmented machine learning towards smart self-powered sensing systems
- Abstract
- 1 Introduction
- 2 Self-powered components and development
- 3 Sensors and systems for machine learning
- 4 A revolutionary approach to self-propelled sensors and systems that have the capability to learn
- 5 Challenges and outlook
- 6 Conclusion
- References
- Chapter 4 Next-generation self-powered integrated sensing systems for the Industrial Internet of Things (IIoT) applications
- Abstract
- 1 Introduction
- 2 Industrial internet of things applications
- 3 Challenges faced by IIoT
- 4 Open issues
- 5 Related works
- 6 Self-powered systems
- 7 Conclusion
- References
- Chapter 5 Self-powered wearable implantable smart sensor and medical electronics based on nanogenerator
- Abstract
- 1 Introduction
- 2 Nanogenerator
- 3 Self-powered sensors
- 4 Self-powered sensors for healthcare applications
- 5 Conclusion
- References
- Chapter 6 Intelligent vision sensors tracking and sensor fusion space-based surveillance and detection
- Abstract
- 1 Introduction
- 2 Intelligent surveillance system (ISS) overview
- 3 Sensor technology and sensor fusion overview
- 4 Traditional sensor fusion approaches
- 5 Wide-area surveillance control techniques
- 6 Conclusion
- References
- Chapter 7 Stretchable and flexible wearable sensors based on carbon and textile for health monitoring
- Abstract
- 1 Introduction
- 2 Carbon-based wearable sensors
- 3 Textile-based wearable sensors
- 4 Challenging issues and future routes: Carbon- and textile-based wearable sensors
- 5 Conclusions
- References
- Chapter 8 Wearable electrochemical and biosensors for forensic analysis: Challenges and research directions
- Abstract
- 1 Introduction
- 2 Sensor design and fabrication
- 3 Sensing techniques and detection methods
- 4 Analyte detection and identification
- 5 Forensic sample collection and preparation
- 6 Data analysis and interpretation
- 7 Challenges and limitations
- 8 Applications and case studies
- 9 Conclusion
- References
- Chapter 9 Self-powered triboelectric sensors for biomedical applications
- Abstract
- 1 Introduction
- 2 Concept of triboelectric sensors
- 3 Self-powered technology
- 4 Advances in biomedical monitoring
- 5 Conclusion
- References
- Chapter 10 Cybersecurity and data privacy vulnerability analysis for smart-self-powered sensors
- Abstract
- 1 Introduction
- 2 Methodology
- 3 Vulnerability analysis
- 4 Mitigation strategies
- 5 Architecture
- 6 Results and discussion
- 7 Conclusion
- References
- Chapter 11 Biometric and bio-inspired approaches for MEMS/NEMS enabled self-powered sensors
- Abstract
- 1 Introduction
- 2 Emergence of bio-inspired NEMS
- 3 Fabrication of bio-inspired NEMS
- 4 Bio-inspired designs of TENG
- 5 Hair-like structures
- 6 Biomimetic applications of TENG
- 7 Flexible and interface MEMS/NEMS
- 8 Conclusions
- References
- Chapter 12 Self-powered integrated sensor system for printable fabrication
- Abstract
- 1 Introduction
- 2 Printable conductive materials
- 3 Substrates and flexible materials
- 4 Energy harvesting and storage
- 5 Sensor integration and fabrication methods
- 6 Encapsulation and protection
- 7 Sensor types and applications
- 8 Integration with wireless communication
- 9 Fabrication challenges and manufacturing scalability
- 10 Conclusion
- References
- Chapter 13 Self-powered wireless solution towards the smart city: Use cases and its applications
- Abstract
- 1 Introduction
- 2 Smart cities: An overview
- 3 Smart city architecture
- 4 Types of energy sources
- 5 Towards the self-powered IOT devices
- 6 Sensor process monitoring
- 7 Condition-based maintenance
- 8 Use cases and applications
- 9 Conclusion
- References
- Chapter 14 Deep learning algorithm and self-powered tactile sensors for gesture recognition
- Abstract
- 1 Introduction
- 2 Tactile sensor array
- 3 Various types of tactile sensors
- 4 Tactile sensor arrays based on field-effect transistor (FET) technology
- 5 Using a tactile sensor based on piezoresistive effect
- 6 The piezocapacitive effect-based tactile sensor
- 7 The piezoelectric effect-based tactile sensor
- 8 Gesture recognition
- 9 Gesture recognition with FETSA
- 10 Gesture determination algorithm based on fingertip recognition
- 11 Gesture recognition of ISL
- 12 Conclusion
- References
- Chapter 15 Signal processing for a self-powered vibration-based power generation
- Abstract
- 1 Vibration signal acquisition
- 2 Vibration signal preprocessing
- 3 Feature extraction and selection
- 4 Energy harvesting techniques
- 5 Signal analysis and classification
- 6 Signal enhancement and denoising
- 7 Signal transmission and communication
- 8 System modelling and simulation
- 9 Conclusion
- References
- Index
- Edition: 1
- Published: September 4, 2024
- Imprint: Academic Press
- No. of pages: 342
- Language: English
- Paperback ISBN: 9780443137921
- eBook ISBN: 9780443137938
RD
Rajesh Kumar Dhanaraj
Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).
Affiliations and expertise
Professor, Symbiosis International (Deemed University), Pune, IndiaPS
Prithi Samuel
Dr Prithi Samuel is currently working as an assistant professor in the Department of Computational Intelligence at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. She has completed her Ph.D. in Information and Communication Engineering from Anna University, Chennai. She has got over 15 years of teaching experience in reputed engineering colleges in Tamil Nadu. She is a pioneer researcher in the areas of Automata Theory, Machine Learning, Deep Learning, Computational Intelligence Techniques, and the Internet of Things. She has published more than 25 papers in leading SCI and Scopus Journals and more than 25 papers in International Conferences and published 1 book and more than 10 book chapters in Wiley, Taylor and Francis, Springer, and Elsevier and published 4 patents and 2 patent grants. She is an active IEEE, ACM Member and holds an ISTE and IAENG lifetime membership
Affiliations and expertise
Assistant professor, Department of Computational Intelligence at SRM Institute of Science and Technology, Kattankulathur Campus, ChennaiMS
Malathy Sathyamoorthy
Dr. Malathy holds a PhD in Information and Communication Engineering from Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences.
Affiliations and expertise
Assistant Professor, Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, IndiaBB
Balamurugan Balusamy
Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor, Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, block chain, and data sciences.
Affiliations and expertise
Shiv Nadar University, Delhi-NCR, IndiaVR
Vinayakumar Ravi
Dr. Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Dr. Ravi has been a Postdoctoral Research Fellow developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, USA. He received his Ph.D. in Computer Science from Amrita School of Engineering, Coimbatore, India. His current research interests include applications of data mining, Artificial Intelligence, machine learning and, deep learning for biomedical informatics, cyber security, image processing, and natural language processing. Dr. Ravi is editor of Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics, Springer. Dr. Ravi is an editorial board member for Journal of the Institute of Electronics and Computer (JIEC), International Journal of Digital Crime and Forensics (IJDCF), and he has organized a shared task force on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18.
Affiliations and expertise
Assistant Research Professor, Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi ArabiaRead Self-powered Sensors on ScienceDirect