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Smart and Healthy Walking [electronic resource] : Toward Better Health and Life in Smart Cities / by Tin-Chih Toly Chen, Yun-Ju Lee.

By: Contributor(s): Material type: TextSeries: SpringerBriefs in Applied Sciences and TechnologyPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: VI, 98 p. 47 illus., 43 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031594434
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • NA2541
Online resources:
Contents:
Smart technologies for healthcare in smart cities -- Smart and healthy walking -- Smart technologies for gait detection and analysis -- Smart classifications for activity recognition and gait biometrics -- Walking in smart cities -- Smart technologies for fall detection and prevention.
In: Springer Nature eBookSummary: This book examines smart technologies and their invaluable role in augmenting the walking experience of mobile users. From meticulously planned walking routes to precise footprint detection and analysis, as well as cutting-edge fall detection and prevention mechanisms, these intelligent technologies have the potential to revolutionize healthy and smart walking. Against the backdrop of the post-COVID-19 era, where unrestricted mobility has become pivotal for restoring normalcy, the demand for smart healthcare solutions has soared. The book explores latest advances in sensor technology, cloud computing, deep learning, and networking and related innovative applications that can leverage smart technologies to enhance healthy walking.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Smart technologies for healthcare in smart cities -- Smart and healthy walking -- Smart technologies for gait detection and analysis -- Smart classifications for activity recognition and gait biometrics -- Walking in smart cities -- Smart technologies for fall detection and prevention.

This book examines smart technologies and their invaluable role in augmenting the walking experience of mobile users. From meticulously planned walking routes to precise footprint detection and analysis, as well as cutting-edge fall detection and prevention mechanisms, these intelligent technologies have the potential to revolutionize healthy and smart walking. Against the backdrop of the post-COVID-19 era, where unrestricted mobility has become pivotal for restoring normalcy, the demand for smart healthcare solutions has soared. The book explores latest advances in sensor technology, cloud computing, deep learning, and networking and related innovative applications that can leverage smart technologies to enhance healthy walking.

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