Matches in SemOpenAlex for { <https://semopenalex.org/work/W3088704773> ?p ?o ?g. }
- W3088704773 endingPage "167" @default.
- W3088704773 startingPage "155" @default.
- W3088704773 abstract "A stepped-frequency continuous-wave (SFCW) radar system with adequate pulse repetition frequency (PRF) is developed to track relatively fast motions from various parts of the human body, separately. Robust signal processing technique is utilized, where a 1-D block processing technique, based on state-space method (SSM) is developed in two dimensions to form an enhanced Hankel matrix to track human motions from two-dimensional (2-D) data collected using the developed SFCW radar system in single- or multi-subject motion scenarios. Experimental datasets are used to track body parts' motions and velocities with high accuracy. The significant improvement, besides de-noising the data, is due to the fact that applying the 1-D block processing technique to 2-D dataset matrix accounts for the correlation between motion's estimates from consecutive frames. Results agree well with our reference, the human Boulic model." @default.
- W3088704773 created "2020-10-01" @default.
- W3088704773 creator A5030156698 @default.
- W3088704773 creator A5035927534 @default.
- W3088704773 creator A5041718207 @default.
- W3088704773 creator A5043350227 @default.
- W3088704773 creator A5047175153 @default.
- W3088704773 creator A5053383386 @default.
- W3088704773 creator A5059455617 @default.
- W3088704773 date "2021-06-01" @default.
- W3088704773 modified "2023-09-27" @default.
- W3088704773 title "Non-Contact Multi-Subject Human Gait Analysis Using A State-Space Method With Enhanced 1-D Block Representation" @default.
- W3088704773 cites W126737248 @default.
- W3088704773 cites W1496152962 @default.
- W3088704773 cites W1565952470 @default.
- W3088704773 cites W1970493599 @default.
- W3088704773 cites W1976800467 @default.
- W3088704773 cites W1980007397 @default.
- W3088704773 cites W1981903823 @default.
- W3088704773 cites W1992753441 @default.
- W3088704773 cites W1996641167 @default.
- W3088704773 cites W1997253713 @default.
- W3088704773 cites W2011939091 @default.
- W3088704773 cites W2053309418 @default.
- W3088704773 cites W2060137550 @default.
- W3088704773 cites W2086188282 @default.
- W3088704773 cites W2101576592 @default.
- W3088704773 cites W2106695039 @default.
- W3088704773 cites W2109329768 @default.
- W3088704773 cites W2113137145 @default.
- W3088704773 cites W2114868488 @default.
- W3088704773 cites W2119063043 @default.
- W3088704773 cites W2121899951 @default.
- W3088704773 cites W2125485555 @default.
- W3088704773 cites W2127600934 @default.
- W3088704773 cites W2141855995 @default.
- W3088704773 cites W2149516292 @default.
- W3088704773 cites W2155833363 @default.
- W3088704773 cites W2157294876 @default.
- W3088704773 cites W2161255875 @default.
- W3088704773 cites W2169713154 @default.
- W3088704773 cites W2266372986 @default.
- W3088704773 cites W23220501 @default.
- W3088704773 cites W2324333583 @default.
- W3088704773 cites W2324755395 @default.
- W3088704773 cites W2336393921 @default.
- W3088704773 cites W2417077308 @default.
- W3088704773 cites W2589080694 @default.
- W3088704773 cites W2595613322 @default.
- W3088704773 cites W2725294424 @default.
- W3088704773 cites W2763939174 @default.
- W3088704773 cites W2801792401 @default.
- W3088704773 cites W3098421607 @default.
- W3088704773 cites W88568647 @default.
- W3088704773 cites W2900827966 @default.
- W3088704773 doi "https://doi.org/10.1109/jerm.2020.3026217" @default.
- W3088704773 hasPublicationYear "2021" @default.
- W3088704773 type Work @default.
- W3088704773 sameAs 3088704773 @default.
- W3088704773 citedByCount "4" @default.
- W3088704773 countsByYear W30887047732021 @default.
- W3088704773 countsByYear W30887047732022 @default.
- W3088704773 crossrefType "journal-article" @default.
- W3088704773 hasAuthorship W3088704773A5030156698 @default.
- W3088704773 hasAuthorship W3088704773A5035927534 @default.
- W3088704773 hasAuthorship W3088704773A5041718207 @default.
- W3088704773 hasAuthorship W3088704773A5043350227 @default.
- W3088704773 hasAuthorship W3088704773A5047175153 @default.
- W3088704773 hasAuthorship W3088704773A5053383386 @default.
- W3088704773 hasAuthorship W3088704773A5059455617 @default.
- W3088704773 hasConcept C104267543 @default.
- W3088704773 hasConcept C111919701 @default.
- W3088704773 hasConcept C11413529 @default.
- W3088704773 hasConcept C121332964 @default.
- W3088704773 hasConcept C153180895 @default.
- W3088704773 hasConcept C154945302 @default.
- W3088704773 hasConcept C17744445 @default.
- W3088704773 hasConcept C182862853 @default.
- W3088704773 hasConcept C199539241 @default.
- W3088704773 hasConcept C24890656 @default.
- W3088704773 hasConcept C2524010 @default.
- W3088704773 hasConcept C2776359362 @default.
- W3088704773 hasConcept C2777210771 @default.
- W3088704773 hasConcept C31972630 @default.
- W3088704773 hasConcept C33923547 @default.
- W3088704773 hasConcept C41008148 @default.
- W3088704773 hasConcept C554190296 @default.
- W3088704773 hasConcept C76155785 @default.
- W3088704773 hasConcept C89992363 @default.
- W3088704773 hasConcept C94625758 @default.
- W3088704773 hasConceptScore W3088704773C104267543 @default.
- W3088704773 hasConceptScore W3088704773C111919701 @default.
- W3088704773 hasConceptScore W3088704773C11413529 @default.
- W3088704773 hasConceptScore W3088704773C121332964 @default.
- W3088704773 hasConceptScore W3088704773C153180895 @default.
- W3088704773 hasConceptScore W3088704773C154945302 @default.
- W3088704773 hasConceptScore W3088704773C17744445 @default.
- W3088704773 hasConceptScore W3088704773C182862853 @default.