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007 | cr nn 008mamaa | ||
008 | 220316s2022 sz | s |||| 0|eng d | ||
020 | _a9783030973322 | ||
024 | 7 |
_a10.1007/978-3-030-97332-2 _2doi |
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_aTR-AnTOB _beng _cTR-AnTOB _erda |
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041 | _aeng | ||
060 | 4 | _aQT 36 | |
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100 | 1 |
_aGao, Shuo. _eauthor. _0(orcid)0000-0003-3096-4700 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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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. |
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300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |
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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 |
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