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Wearable systems based gait monitoring and analysis / Shuo Gao, Junliang Chen, Yanning Dai, Boyi Hu.

9783030973322 (electronic bk.)
3030973328 (electronic bk.)
9783030973315
303097331X

Cham, Switzerland : Springer, 2022.

English

1 online resource

10.1007/978-3-030-97332-2 doi

R857.B54

610.28

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. Provides students and practitioners with an overview of wearable gait monitoring techniques; Includes detailed insole sensor design considerations; Features engineering-based gait analysis methods.

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed March 30, 2022).

Print version: 9783030973315

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