FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3037221191> ?p ?o ?g. }

• W3037221191 endingPage "671" @default.
• W3037221191 startingPage "653" @default.
• W3037221191 abstract "Abstract The use of foot mounted inertial and other auxiliary sensors for kinematic gait analysis has been extensively investigated during the last years. Although, these sensors still yield less accurate results than those obtained employing optical motion capture systems, the miniaturization and their low cost have allowed the estimation of kinematic spatiotemporal parameters in laboratory conditions and real life scenarios. The aim of this work was to present a comprehensive approach of this scientific area through a systematic literature research, breaking down the state-of-the-art methods into three main parts: (1) zero velocity interval detection techniques; (2) assumptions and sensors’ utilization; (3) foot pose and trajectory estimation methods. Published articles from 1995 until December of 2018 were searched in the PubMed, IEEE Xplore and Google Scholar databases. The research was focused on two categories: (a) zero velocity interval detection methods; and (b) foot pose and trajectory estimation methods. The employed assumptions and the potential use of the sensors have been identified from the retrieved articles. Technical characteristics, categorized methodologies, application conditions, advantages and disadvantages have been provided, while, for the first time, assumptions and sensors’ utilization have been identified, categorized and are presented in this review. Considerable progress has been achieved in gait parameters estimation on constrained laboratory environments taking into account assumptions such as a person walking on a flat floor. On the contrary, methods that rely on less constraining assumptions, and are thus applicable in daily life, led to less accurate results. Rule based methods have been mainly used for the detection of the zero velocity intervals, while more complex techniques have been proposed, which may lead to more accurate gait parameters. The review process has shown that presently the best-performing methods for gait parameter estimation make use of inertial sensors combined with auxiliary sensors such as ultrasonic sensors, proximity sensors and cameras. However, the experimental evaluation protocol was much more thorough, when single inertial sensors were used. Finally, it has been highlighted that the accuracy of setups using auxiliary sensors may further be improved by collecting measurements during the whole foot movement and not only partially as is currently the practice . This review has identified the need for research and development of methods and setups that allow for the robust estimation of kinematic gait parameters in unconstrained environments and under various gait profiles." @default.
• W3037221191 created "2020-07-02" @default.
• W3037221191 creator A5033350306 @default.
• W3037221191 creator A5050418068 @default.
• W3037221191 creator A5073618880 @default.
• W3037221191 creator A5077265318 @default.
• W3037221191 creator A5090925438 @default.
• W3037221191 date "2020-11-18" @default.
• W3037221191 modified "2023-09-26" @default.
• W3037221191 title "A review of foot pose and trajectory estimation methods using inertial and auxiliary sensors for kinematic gait analysis" @default.
• W3037221191 cites W1542697490 @default.
• W3037221191 cites W1615530956 @default.
• W3037221191 cites W1840637580 @default.
• W3037221191 cites W1964866297 @default.
• W3037221191 cites W1970493599 @default.
• W3037221191 cites W1974629133 @default.
• W3037221191 cites W1979899459 @default.
• W3037221191 cites W1994700204 @default.
• W3037221191 cites W2002904714 @default.
• W3037221191 cites W2005670532 @default.
• W3037221191 cites W2025383264 @default.
• W3037221191 cites W2027216536 @default.
• W3037221191 cites W2030254544 @default.
• W3037221191 cites W2034878282 @default.
• W3037221191 cites W2056201856 @default.
• W3037221191 cites W2058190976 @default.
• W3037221191 cites W2073021377 @default.
• W3037221191 cites W2074784720 @default.
• W3037221191 cites W2076266873 @default.
• W3037221191 cites W2076590703 @default.
• W3037221191 cites W2081833615 @default.
• W3037221191 cites W2098949123 @default.
• W3037221191 cites W2105382574 @default.
• W3037221191 cites W2105934661 @default.
• W3037221191 cites W2109122116 @default.
• W3037221191 cites W2112636079 @default.
• W3037221191 cites W2112711387 @default.
• W3037221191 cites W2118307262 @default.
• W3037221191 cites W2124076342 @default.
• W3037221191 cites W2124517686 @default.
• W3037221191 cites W2125691646 @default.
• W3037221191 cites W2141318231 @default.
• W3037221191 cites W2153542846 @default.
• W3037221191 cites W2155067987 @default.
• W3037221191 cites W2158764002 @default.
• W3037221191 cites W2163424174 @default.
• W3037221191 cites W2171731706 @default.
• W3037221191 cites W2195342085 @default.
• W3037221191 cites W2208583727 @default.
• W3037221191 cites W2269582543 @default.
• W3037221191 cites W2272876326 @default.
• W3037221191 cites W2275126957 @default.
• W3037221191 cites W2287563231 @default.
• W3037221191 cites W2344106393 @default.
• W3037221191 cites W2413782574 @default.
• W3037221191 cites W2530870012 @default.
• W3037221191 cites W2532235096 @default.
• W3037221191 cites W2559435062 @default.
• W3037221191 cites W2767476174 @default.
• W3037221191 cites W2791533753 @default.
• W3037221191 cites W2884923535 @default.
• W3037221191 cites W2903106050 @default.
• W3037221191 cites W4245766349 @default.
• W3037221191 doi "https://doi.org/10.1515/bmt-2019-0163" @default.
• W3037221191 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32589591" @default.
• W3037221191 hasPublicationYear "2020" @default.
• W3037221191 type Work @default.
• W3037221191 sameAs 3037221191 @default.
• W3037221191 citedByCount "1" @default.
• W3037221191 countsByYear W30372211912021 @default.
• W3037221191 crossrefType "journal-article" @default.
• W3037221191 hasAuthorship W3037221191A5033350306 @default.
• W3037221191 hasAuthorship W3037221191A5050418068 @default.
• W3037221191 hasAuthorship W3037221191A5073618880 @default.
• W3037221191 hasAuthorship W3037221191A5077265318 @default.
• W3037221191 hasAuthorship W3037221191A5090925438 @default.
• W3037221191 hasConcept C104114177 @default.
• W3037221191 hasConcept C121332964 @default.
• W3037221191 hasConcept C1276947 @default.
• W3037221191 hasConcept C13662910 @default.
• W3037221191 hasConcept C151800584 @default.
• W3037221191 hasConcept C154945302 @default.
• W3037221191 hasConcept C173906292 @default.
• W3037221191 hasConcept C31972630 @default.
• W3037221191 hasConcept C39920418 @default.
• W3037221191 hasConcept C41008148 @default.
• W3037221191 hasConcept C44154836 @default.
• W3037221191 hasConcept C48007421 @default.
• W3037221191 hasConcept C71924100 @default.
• W3037221191 hasConcept C74650414 @default.
• W3037221191 hasConcept C79061980 @default.
• W3037221191 hasConcept C96332660 @default.
• W3037221191 hasConcept C99508421 @default.
• W3037221191 hasConceptScore W3037221191C104114177 @default.
• W3037221191 hasConceptScore W3037221191C121332964 @default.
• W3037221191 hasConceptScore W3037221191C1276947 @default.
• W3037221191 hasConceptScore W3037221191C13662910 @default.
• W3037221191 hasConceptScore W3037221191C151800584 @default.

• next