Description

Book Synopsis
Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.



Table of Contents
Introduction.- Characteristics of Gait.- Wearable Gait Detection Technologies.- Gait Analysis Algorithms.- Medical Applications.- Occupational Applications. Conclusions.

Wearable Systems Based Gait Monitoring and

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    A Paperback / softback by Shuo Gao, Junliang Chen, Yanning Dai

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      Publisher: Springer Nature Switzerland AG
      Publication Date: 18/03/2023
      ISBN13: 9783030973346, 978-3030973346
      ISBN10: 3030973344

      Description

      Book Synopsis
      Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.



      Table of Contents
      Introduction.- Characteristics of Gait.- Wearable Gait Detection Technologies.- Gait Analysis Algorithms.- Medical Applications.- Occupational Applications. Conclusions.

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