Reprint

Wearable Sensing Devices and Technology

Edited by
September 2024
276 pages
  • ISBN978-3-7258-1984-3 (Hardback)
  • ISBN978-3-7258-1983-6 (PDF)

This is a Reprint of the Special Issue Wearable Sensing Devices and Technology that was published in

Computer Science & Mathematics
Engineering
Summary

This reprint provides a comprehensive overview of the latest advancements in the field of wearable technology, addressing critical gaps and challenges in various applications. The research compiled in this reprint spans across multiple domains, including healthcare, security, localization, and user experience. Key contributions include innovative methods for continuous authentication using acoustic side channels, advanced localization techniques in wireless sensor networks, and enhanced sign language recognition through data glove technology. Additionally, this Special Issue highlights significant progress in healthcare systems, such as the development of predictive models for disease risk in nursing homes and the integration of optical pulse sensors for heart rate monitoring. This reprint concludes by discussing future research directions, emphasizing the need for interdisciplinary integration, improved scalability, and enhanced security in wearable devices. Therefore, this SI reprint is a valuable resource for researchers and practitioners aiming to push the boundaries of wearable sensing technology.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
acoustic sense; continuous authentication; Ear Related Transfer Function; FMCW; CIR; Cross-Technology Communication (CTC); Wireless Sensor Network (WSN); localization; Wi-Fi; ZigBee; data glove; wearable device; sign language recognition; ubiquitous computing; medium access control protocol; channel allocation; wireless body area networks; energy efficiency; quality of service; wearable sensors; machine learning; health monitoring; disease risk prediction; Internet of Things; big data; smart textiles; smart clothes; e-textiles; biosignal; vital signal; pulse sensor; microcontroller; washability; display; fall detection (FD); graph convolutional network (GCN); human activity recognition (HAR); computer vision; body pose detection; AlphaPose; channel attention; ageing people; Parkinson’s disease; motor impairment; TUG test; upper-limb swings; IoT; ubiquitous healthcare; telehealth system; daily water usage; sleep monitoring; solitary deaths; Node-RED; haptic interface; wearable computer; virtual reality (VR); augmented reality (AR); mixed reality (MR); extended reality (XR); human–computer interaction (HCI); ambulatory applications; force-feedback; perceptual overlay; tangible user interface (TUI); personal sensing; Virtual Co-embodiment (vc); virtual reality; mixed reality; music pedagogy; rhythm training; Action Observation (ao); motor skill learning; sound and music computing; information interfaces and presentation; sense of agency; Global Navigation Satellite System (GNSS); Global Positioning System (GPS); low-power electronics; smart devices; smartphone; wearables; measurements; Android; fall detection; pressure sensor; e-textile sensor; ResNet; HAR; insole sensor; elder healthcare; abnormal detection; wearable computing; motion capture; n/a

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