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dc.contributor.authorNeťuková S.
dc.contributor.authorBejtic M.
dc.contributor.authorMalá C.
dc.contributor.authorHoráková L.
dc.contributor.authorKutílek P.
dc.contributor.authorKauler J.
dc.contributor.authorKrupička R.
dc.date.accessioned2023-01-12T10:22:29Z
dc.date.available2023-01-12T10:22:29Z
dc.date.issued2022
dc.identifierV3S-361671
dc.identifier.citationNEŤUKOVÁ, S., et al. Lower Limb Exoskeleton Sensors: State-of-the-Art. Sensors. 2022, 22(23), 1-17. ISSN 1424-8220. DOI 10.3390/s22239091.
dc.identifier.issn1424-8220 (online)
dc.identifier.urihttp://hdl.handle.net/10467/105604
dc.description.abstractDue to the ever-increasing proportion of older people in the total population and the growing awareness of the importance of protecting workers against physical overload during long-time hard work, the idea of supporting exoskeletons progressed from high-tech fiction to almost commercialized products within the last six decades. Sensors, as part of the perception layer, play a crucial role in enhancing the functionality of exoskeletons by providing as accurate real-time data as possible to generate reliable input data for the control layer. The result of the processed sensor data is the information about current limb position, movement intension, and needed support. With the help of this review article, we want to clarify which criteria for sensors used in exoskeletons are important and how standard sensor types, such as kinematic and kinetic sensors, are used in lower limb exoskeletons. We also want to outline the possibilities and limitations of special medical signal sensors detecting, e.g., brain or muscle signals to improve data perception at the human–machine interface. A topic-based literature and product research was done to gain the best possible overview of the newest developments, research results, and products in the field. The paper provides an extensive overview of sensor criteria that need to be considered for the use of sensors in exoskeletons, as well as a collection of sensors and their placement used in current exoskeleton products. Additionally, the article points out several types of sensors detecting physiological or environmental signals that might be beneficial for future exoskeleton developments. © 2022 by the authors.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMolecular Diversity Preservation International
dc.relation.ispartofSensors
dc.subjectexoskeletonseng
dc.subjectlower limbseng
dc.subjectpowered orthosiseng
dc.subjectsensorseng
dc.subjectwearable robotseng
dc.titleLower Limb Exoskeleton Sensors: State-of-the-Arteng
dc.typečlánek v časopisecze
dc.typejournal articleeng
dc.identifier.doi10.3390/s22239091
dc.relation.projectidinfo:eu-repo/grantAgreement/Ministry of Health/NU/NU20-04-00327/CZ/Disorders of gait, postural stability and cognition in Parkinson's disease: presymptomatic detection and targeted rehabilitation/
dc.relation.projectidinfo:eu-repo/grantAgreement/Ministry of Education, Youth and Sports/LX/LX22NPO5107/CZ/National institute for Neurological Research/NPO-NEURO-D
dc.rights.accessopenAccess
dc.identifier.wos000897341500001
dc.type.statusPeer-reviewed
dc.type.versionacceptedVersion
dc.identifier.scopus2-s2.0-85143848485


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