001445253 000__ 03410cam\a2200541Ia\4500
001445253 001__ 1445253
001445253 003__ OCoLC
001445253 005__ 20230310003820.0
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001445253 008__ 220319s2022\\\\sz\\\\\\ob\\\\001\0\eng\d
001445253 019__ $$a1304400387$$a1304463163$$a1304816411$$a1306060319
001445253 020__ $$a9783030973322$$q(electronic bk.)
001445253 020__ $$a3030973328$$q(electronic bk.)
001445253 020__ $$z9783030973315
001445253 020__ $$z303097331X
001445253 0247_ $$a10.1007/978-3-030-97332-2$$2doi
001445253 035__ $$aSP(OCoLC)1304357373
001445253 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ
001445253 049__ $$aISEA
001445253 050_4 $$aR857.B54
001445253 08204 $$a610.28$$223
001445253 1001_ $$aGao, Shuo,$$eauthor.$$1https://orcid.org/0000-0003-3096-4700
001445253 24510 $$aWearable systems based gait monitoring and analysis /$$cShuo Gao, Junliang Chen, Yanning Dai, Boyi Hu.
001445253 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001445253 300__ $$a1 online resource
001445253 504__ $$aIncludes bibliographical references and index.
001445253 5050_ $$aIntroduction -- Characteristics of Gait -- Wearable Gait Detection Technologies -- Gait Analysis Algorithms -- Medical Applications -- Occupational Applications. Conclusions.
001445253 506__ $$aAccess limited to authorized users.
001445253 520__ $$aWearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body's physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG, and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods. Provides students and practitioners with an overview of wearable gait monitoring techniques; Includes detailed insole sensor design considerations; Features engineering-based gait analysis methods.
001445253 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 30, 2022).
001445253 650_0 $$aBiosensors.
001445253 650_0 $$aGait in humans.
001445253 650_0 $$aWearable technology.
001445253 650_6 $$aBiocapteurs.
001445253 650_6 $$aDémarche.
001445253 650_6 $$aTechnologie prêt-à-porter.
001445253 655_0 $$aElectronic books.
001445253 7001_ $$aChen, Junliang,$$eauthor.
001445253 7001_ $$aDai, Yanning,$$eauthor.
001445253 7001_ $$aHu, Boyi,$$eauthor.$$0(orcid)0000-0002-7442-184X$$1https://orcid.org/0000-0002-7442-184X
001445253 77608 $$iPrint version: $$z303097331X$$z9783030973315$$w(OCoLC)1294140602
001445253 852__ $$bebk
001445253 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-97332-2$$zOnline Access$$91397441.1
001445253 909CO $$ooai:library.usi.edu:1445253$$pGLOBAL_SET
001445253 980__ $$aBIB
001445253 980__ $$aEBOOK
001445253 982__ $$aEbook
001445253 983__ $$aOnline
001445253 994__ $$a92$$bISE