FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225676845> ?p ?o ?g. }

• W4225676845 endingPage "3242" @default.
• W4225676845 startingPage "3234" @default.
• W4225676845 abstract "Autonomous lower-limb exoskeletons must modulate assistance based on locomotion mode (e.g., ramp or stair ascent) to adapt to the corresponding changes in human biological joint dynamics. However, current mode classification strategies for exoskeletons often require user-specific tuning, have a slow update rate, and rely on additional sensors outside of the exoskeleton sensor suite. In this study, we introduce a deep convolutional neural network-based locomotion mode classifier for hip exoskeleton applications using an open-source gait biomechanics dataset with various wearable sensors. Our approach removed the limitations of previous systems as it is 1) subject-independent (i.e., no user-specific data), 2) capable of continuously classifying for smooth and seamless mode transitions, and 3) only utilizes minimal wearable sensors native to a conventional hip exoskeleton. We optimized our model, based on several important factors contributing to overall performance, such as transition label timing, model architecture, and sensor placement, which provides a holistic understanding of mode classifier design. Our optimized DL model showed a 3.13% classification error (steady-state: 0.80 ± 0.38% and transitional: 6.49 ± 1.42%), outperforming other machine learning-based benchmarks commonly practiced in the field (p<0.05). Furthermore, our multi-modal analysis indicated that our model can maintain high performance in different settings such as unseen slopes on stairs or ramps. Thus, our study presents a novel locomotion mode framework, capable of advancing robotic exoskeleton applications toward assisting community ambulation." @default.
• W4225676845 created "2022-05-05" @default.
• W4225676845 creator A5009266368 @default.
• W4225676845 creator A5013782560 @default.
• W4225676845 creator A5030877663 @default.
• W4225676845 creator A5035906071 @default.
• W4225676845 creator A5082512576 @default.
• W4225676845 date "2022-10-01" @default.
• W4225676845 modified "2023-10-02" @default.
• W4225676845 title "Subject-Independent Continuous Locomotion Mode Classification for Robotic Hip Exoskeleton Applications" @default.
• W4225676845 cites W1596717185 @default.
• W4225676845 cites W1797342007 @default.
• W4225676845 cites W1967516228 @default.
• W4225676845 cites W1970510730 @default.
• W4225676845 cites W1978248151 @default.
• W4225676845 cites W2002016471 @default.
• W4225676845 cites W2007998668 @default.
• W4225676845 cites W2010642057 @default.
• W4225676845 cites W2026523445 @default.
• W4225676845 cites W2053082706 @default.
• W4225676845 cites W2083113971 @default.
• W4225676845 cites W2093185395 @default.
• W4225676845 cites W2093609443 @default.
• W4225676845 cites W2106951868 @default.
• W4225676845 cites W2144910137 @default.
• W4225676845 cites W2167221577 @default.
• W4225676845 cites W2171213231 @default.
• W4225676845 cites W2343715419 @default.
• W4225676845 cites W2510569194 @default.
• W4225676845 cites W2522993510 @default.
• W4225676845 cites W2565859548 @default.
• W4225676845 cites W2700163520 @default.
• W4225676845 cites W2745042350 @default.
• W4225676845 cites W2753528279 @default.
• W4225676845 cites W2755020189 @default.
• W4225676845 cites W2764025497 @default.
• W4225676845 cites W2788331089 @default.
• W4225676845 cites W2805768015 @default.
• W4225676845 cites W2897753137 @default.
• W4225676845 cites W2965569660 @default.
• W4225676845 cites W2967902380 @default.
• W4225676845 cites W3012175404 @default.
• W4225676845 cites W3012841673 @default.
• W4225676845 cites W3018853031 @default.
• W4225676845 cites W3027258250 @default.
• W4225676845 cites W3041162835 @default.
• W4225676845 cites W3041651957 @default.
• W4225676845 cites W3094323986 @default.
• W4225676845 cites W3130807160 @default.
• W4225676845 cites W3134090569 @default.
• W4225676845 cites W3135449185 @default.
• W4225676845 cites W3154613641 @default.
• W4225676845 cites W3164486719 @default.
• W4225676845 cites W4239312475 @default.
• W4225676845 doi "https://doi.org/10.1109/tbme.2022.3165547" @default.
• W4225676845 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35389859" @default.
• W4225676845 hasPublicationYear "2022" @default.
• W4225676845 type Work @default.
• W4225676845 citedByCount "7" @default.
• W4225676845 countsByYear W42256768452022 @default.
• W4225676845 countsByYear W42256768452023 @default.
• W4225676845 crossrefType "journal-article" @default.
• W4225676845 hasAuthorship W4225676845A5009266368 @default.
• W4225676845 hasAuthorship W4225676845A5013782560 @default.
• W4225676845 hasAuthorship W4225676845A5030877663 @default.
• W4225676845 hasAuthorship W4225676845A5035906071 @default.
• W4225676845 hasAuthorship W4225676845A5082512576 @default.
• W4225676845 hasConcept C119857082 @default.
• W4225676845 hasConcept C127413603 @default.
• W4225676845 hasConcept C146549078 @default.
• W4225676845 hasConcept C149635348 @default.
• W4225676845 hasConcept C150594956 @default.
• W4225676845 hasConcept C151800584 @default.
• W4225676845 hasConcept C154945302 @default.
• W4225676845 hasConcept C41008148 @default.
• W4225676845 hasConcept C44154836 @default.
• W4225676845 hasConcept C71924100 @default.
• W4225676845 hasConcept C81363708 @default.
• W4225676845 hasConcept C90509273 @default.
• W4225676845 hasConcept C95623464 @default.
• W4225676845 hasConcept C99508421 @default.
• W4225676845 hasConceptScore W4225676845C119857082 @default.
• W4225676845 hasConceptScore W4225676845C127413603 @default.
• W4225676845 hasConceptScore W4225676845C146549078 @default.
• W4225676845 hasConceptScore W4225676845C149635348 @default.
• W4225676845 hasConceptScore W4225676845C150594956 @default.
• W4225676845 hasConceptScore W4225676845C151800584 @default.
• W4225676845 hasConceptScore W4225676845C154945302 @default.
• W4225676845 hasConceptScore W4225676845C41008148 @default.
• W4225676845 hasConceptScore W4225676845C44154836 @default.
• W4225676845 hasConceptScore W4225676845C71924100 @default.
• W4225676845 hasConceptScore W4225676845C81363708 @default.
• W4225676845 hasConceptScore W4225676845C90509273 @default.
• W4225676845 hasConceptScore W4225676845C95623464 @default.
• W4225676845 hasConceptScore W4225676845C99508421 @default.
• W4225676845 hasIssue "10" @default.
• W4225676845 hasLocation W42256768451 @default.
• W4225676845 hasLocation W42256768452 @default.

• next