Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384517993> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4384517993 abstract "This study explores the potential of using a sensor system and deep learning algorithm for automatic recognition and classification of human movement intentions to enhance the control of active orthopedic aids such as orthoses, prostheses, and exoskeletons. The sensor system consists of four inertial measurement units (IMU) attached to the thighs, lower back, and chest of a person, measuring acceleration and rotational velocity in three axes each. A dataset was generated from 20 healthy individuals performing various movements from a standing position, and preprocessed and segmented into time windows. The data was fed into a convolutional neural network (CNN) capable of classifying the time windows into seven classes. The network achieved a classification accuracy of up to 82 %. The results demonstrate the potential of the proposed system for successful application in the control of assistance systems, which can improve the operability and effectiveness of orthopedic aids." @default.
- W4384517993 created "2023-07-18" @default.
- W4384517993 creator A5027334214 @default.
- W4384517993 creator A5053175222 @default.
- W4384517993 creator A5092483504 @default.
- W4384517993 date "2023-06-01" @default.
- W4384517993 modified "2023-09-30" @default.
- W4384517993 title "CNN-Based Intention Recognition Using Body-Worn Inertial Measurement Units" @default.
- W4384517993 cites W2026297770 @default.
- W4384517993 cites W2057816579 @default.
- W4384517993 cites W2142114107 @default.
- W4384517993 cites W2147809815 @default.
- W4384517993 cites W2163062155 @default.
- W4384517993 cites W2165663679 @default.
- W4384517993 cites W2167492660 @default.
- W4384517993 cites W2618530766 @default.
- W4384517993 cites W2756443298 @default.
- W4384517993 cites W2803675191 @default.
- W4384517993 cites W2897753137 @default.
- W4384517993 cites W2944662892 @default.
- W4384517993 cites W2952517693 @default.
- W4384517993 cites W2953030885 @default.
- W4384517993 cites W2969071609 @default.
- W4384517993 cites W3094382181 @default.
- W4384517993 cites W3113171063 @default.
- W4384517993 cites W3153112114 @default.
- W4384517993 cites W3167733057 @default.
- W4384517993 cites W3172561953 @default.
- W4384517993 cites W4220855507 @default.
- W4384517993 cites W4226143558 @default.
- W4384517993 doi "https://doi.org/10.1109/cbms58004.2023.00315" @default.
- W4384517993 hasPublicationYear "2023" @default.
- W4384517993 type Work @default.
- W4384517993 citedByCount "0" @default.
- W4384517993 crossrefType "proceedings-article" @default.
- W4384517993 hasAuthorship W4384517993A5027334214 @default.
- W4384517993 hasAuthorship W4384517993A5053175222 @default.
- W4384517993 hasAuthorship W4384517993A5092483504 @default.
- W4384517993 hasConcept C108583219 @default.
- W4384517993 hasConcept C111919701 @default.
- W4384517993 hasConcept C115903868 @default.
- W4384517993 hasConcept C117896860 @default.
- W4384517993 hasConcept C121332964 @default.
- W4384517993 hasConcept C121687571 @default.
- W4384517993 hasConcept C126231374 @default.
- W4384517993 hasConcept C146549078 @default.
- W4384517993 hasConcept C151233233 @default.
- W4384517993 hasConcept C154945302 @default.
- W4384517993 hasConcept C31972630 @default.
- W4384517993 hasConcept C41008148 @default.
- W4384517993 hasConcept C44154836 @default.
- W4384517993 hasConcept C52622490 @default.
- W4384517993 hasConcept C62520636 @default.
- W4384517993 hasConcept C74650414 @default.
- W4384517993 hasConcept C79061980 @default.
- W4384517993 hasConcept C81363708 @default.
- W4384517993 hasConcept C89805583 @default.
- W4384517993 hasConceptScore W4384517993C108583219 @default.
- W4384517993 hasConceptScore W4384517993C111919701 @default.
- W4384517993 hasConceptScore W4384517993C115903868 @default.
- W4384517993 hasConceptScore W4384517993C117896860 @default.
- W4384517993 hasConceptScore W4384517993C121332964 @default.
- W4384517993 hasConceptScore W4384517993C121687571 @default.
- W4384517993 hasConceptScore W4384517993C126231374 @default.
- W4384517993 hasConceptScore W4384517993C146549078 @default.
- W4384517993 hasConceptScore W4384517993C151233233 @default.
- W4384517993 hasConceptScore W4384517993C154945302 @default.
- W4384517993 hasConceptScore W4384517993C31972630 @default.
- W4384517993 hasConceptScore W4384517993C41008148 @default.
- W4384517993 hasConceptScore W4384517993C44154836 @default.
- W4384517993 hasConceptScore W4384517993C52622490 @default.
- W4384517993 hasConceptScore W4384517993C62520636 @default.
- W4384517993 hasConceptScore W4384517993C74650414 @default.
- W4384517993 hasConceptScore W4384517993C79061980 @default.
- W4384517993 hasConceptScore W4384517993C81363708 @default.
- W4384517993 hasConceptScore W4384517993C89805583 @default.
- W4384517993 hasLocation W43845179931 @default.
- W4384517993 hasOpenAccess W4384517993 @default.
- W4384517993 hasPrimaryLocation W43845179931 @default.
- W4384517993 hasRelatedWork W1966552491 @default.
- W4384517993 hasRelatedWork W2035116444 @default.
- W4384517993 hasRelatedWork W2060408175 @default.
- W4384517993 hasRelatedWork W2077888313 @default.
- W4384517993 hasRelatedWork W2279398222 @default.
- W4384517993 hasRelatedWork W2965781778 @default.
- W4384517993 hasRelatedWork W4289176422 @default.
- W4384517993 hasRelatedWork W4299822940 @default.
- W4384517993 hasRelatedWork W4384517993 @default.
- W4384517993 hasRelatedWork W1564166811 @default.
- W4384517993 isParatext "false" @default.
- W4384517993 isRetracted "false" @default.
- W4384517993 workType "article" @default.