Reprint

Exploring IoT Sensors and Their Applications: Advancements, Challenges, and Opportunities in Smart Environments

Edited by
September 2024
202 pages
  • ISBN978-3-7258-2024-5 (Hardback)
  • ISBN978-3-7258-2023-8 (PDF)

This is a Reprint of the Special Issue Exploring IoT Sensors and Their Applications: Advancements, Challenges, and Opportunities in Smart Environments that was published in

Chemistry & Materials Science
Engineering
Physical Sciences
Summary

This reprint delves into the cutting-edge world of IoT sensors and their transformative applications in smart environments. It presents a comprehensive overview of the latest advancements in sensor technologies, addressing critical challenges such as the need for more accurate, reliable, and energy-efficient sensors. This reprint covers a wide range of applications, including healthcare, industrial automation, and environmental monitoring, offering insights into how these technologies are being integrated into real-world scenarios. It also highlights the importance of interdisciplinary collaboration, showing how the convergence of AI, data science, and IoT is paving the way for smarter, more autonomous systems. This volume is an essential resource for researchers, practitioners, and anyone interested in the future of IoT and its potential to revolutionize various industries.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
soft capacitive pressure sensors; healthcare; connectivity; random forest; flexible embedded system; soft pressure sensor; water resistance; Pyralux copper-clad laminate; random forest; respiratory monitoring; hand gesture recognition; smart data glove; underwater gesture recognition; amphibious communication; deep learning; transfer learning; low-light pedestrian detection dataset; lightweight model; wearable devices; human activity recognition; Internet of Healthcare Things; locomotion prediction; multimodal systems; recurrent neural network; RGB; wearable sensors; isopropanol alcohol gas; gas sensor; Internet of Things; monitoring; memristor; poly-l-lactic acid; piezoelectricity; braided cord; sensing; PLLA; deterministic lateral displacement (DLD); particle separation; externally balanced cascade multi-size separation; I-shaped pillar; MEMS MARG orientation; orientation for human–computer interaction; magnetic distortion; GMVDμK algorithm; GMVDK algorithm; gesture control; robotic arm; agricultural harvesting; data glove; bending sensors; OptiTrack; machine learning; CNN+BiLSTM; spatial tracking; ergonomic design; n/a