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020 _a9783030973322
024 7 _a10.1007/978-3-030-97332-2
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
041 _aeng
060 4 _aQT 36
072 7 _aMQW
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072 7 _aTEC059000
_2bisacsh
072 7 _aMQW
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096 _aQT36EBK
100 1 _aGao, Shuo.
_eauthor.
_0(orcid)0000-0003-3096-4700
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aWearable Systems Based Gait Monitoring and Analysis
_h[electronic resource] /
_cby Shuo Gao, Junliang Chen, Yanning Dai, Boyi Hu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Characteristics of Gait -- Wearable Gait Detection Technologies -- Gait Analysis Algorithms -- Medical Applications -- Occupational Applications. Conclusions.
520 _aWearable 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.
650 0 _aBiomedical engineering.
650 0 _aBiomechanics.
650 0 _aHuman-machine systems.
650 1 4 _aBiomedical Engineering and Bioengineering.
650 2 4 _aBiomechanical Analysis and Modeling.
650 2 4 _aMedical and Health Technologies.
650 2 4 _aHuman-Machine Interfaces.
650 2 4 _aBiomechanics.
653 0 _aWearable Electronic Devices
653 0 _aBiosensing Techniques
653 0 _aGait
700 1 _aChen, Junliang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aDai, Yanning.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aHu, Boyi.
_eauthor.
_0(orcid)0000-0002-7442-184X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-030-97332-2
_3Springer eBooks
_zOnline access link to the resource
942 _2NLM
_cEBK