Self-powered Sensors : A Path to Wearable Electronics

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Self-powered Sensors : A Path to Wearable Electronics

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 342 p.
  • 言語 ENG
  • 商品コード 9780443137921
  • DDC分類 621.381

Full Description

Self-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.

Contents

1. Fundamentals and applications of self-powered sensing systems
2. Wearable and portable self-powered sensor systems based on emerging energy harvesting technology
3. Augmented machine learning towards smart self-powered sensing systems
4. Next-generation self-powered integrated sensing systems for the industrial internet of things (IIoT) applications
5. Self-powered wearable implantable smart sensor and medical electronics based on nanogenerator
6. Intelligent vision sensors tracking and sensor fusion space-based surveillance and detection
7. Stretchable and flexible wearable sensors based on carbon and textile for health monitoring
8. Wearable electrochemical and biosensors for forensic analysis: Challenges and research directions
9. Self-powered triboelectric sensors for biomedical applications
10. Cybersecurity and data privacy vulnerability analysis for smart, self-powered sensors
11. Biometric and bio-inspired approaches for MEMS/NEMS enabled self-powered sensors
12. Self-powered integrated sensor system for printable fabrication
13. Self-powered wireless solution towards the smart city: Use cases and its applications
14. Deep learning algorithm and self-powered tactile sensors for gesture recognition
15. Signal processing for a self-powered vibration-based power generation

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