Matches in SemOpenAlex for { <https://semopenalex.org/work/W3159463837> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3159463837 abstract "This paper proposes a method that can classify foot strike types using a deep learning model and can extract unknown factors, which enables to evaluate running motions without being influenced by biases of sports experts, using the contribution degree of input values (CDIV). Accelerometers are attached to the runner's body, and when the runner runs, a fixed camera observes the runner and acquires a video sequence synchronously with the accelerometers. To train a deep learning model for classifying foot strikes, we annotate foot strike acceleration data for RFS (Rearfoot strike) or non-RFS objectively by watching the video. To interpret the unknown factors extracted from the learned model, we calculate two CDIVs: the contributions of the resampling time and the accelerometer value to the output (foot strike type). Experiments on classifying unknown runners' foot strikes were conducted. As a common result to sport science, it is confirmed that the CDIVs contribute highly at the time of the right foot strike, and the sensor values corresponding to the right and left tibias contribute highly to classifying the foot strikes. Experimental results show the right tibia is important for classifying foot strikes. This is because many of the training data represent difference between the two foot strikes in the right tibia. As a conclusion, our proposed method could extract unknown factors from the classifier and could interpret the factors that contain similar knowledge to the prior knowledge of experts, as well as new findings that are not included in conventional knowledge." @default.
- W3159463837 created "2021-05-10" @default.
- W3159463837 creator A5006518349 @default.
- W3159463837 creator A5009531102 @default.
- W3159463837 creator A5028722588 @default.
- W3159463837 creator A5057650374 @default.
- W3159463837 creator A5059786940 @default.
- W3159463837 creator A5066476392 @default.
- W3159463837 creator A5078320835 @default.
- W3159463837 date "2021-01-10" @default.
- W3159463837 modified "2023-09-27" @default.
- W3159463837 title "Extracting and Interpreting Unknown Factors with Classifier for Foot Strike Types in Running" @default.
- W3159463837 cites W1686810756 @default.
- W3159463837 cites W2028160665 @default.
- W3159463837 cites W2068408819 @default.
- W3159463837 cites W2076076958 @default.
- W3159463837 cites W2119138797 @default.
- W3159463837 cites W2160850947 @default.
- W3159463837 cites W2260521078 @default.
- W3159463837 cites W2327142087 @default.
- W3159463837 cites W2552035314 @default.
- W3159463837 cites W2553098005 @default.
- W3159463837 cites W2598391117 @default.
- W3159463837 cites W2624990643 @default.
- W3159463837 cites W2759569460 @default.
- W3159463837 cites W2763592910 @default.
- W3159463837 cites W2890932375 @default.
- W3159463837 cites W2902134262 @default.
- W3159463837 cites W2912692220 @default.
- W3159463837 cites W2921275560 @default.
- W3159463837 cites W2939039198 @default.
- W3159463837 cites W2964121744 @default.
- W3159463837 cites W2967956945 @default.
- W3159463837 cites W2994819879 @default.
- W3159463837 doi "https://doi.org/10.1109/icpr48806.2021.9413118" @default.
- W3159463837 hasPublicationYear "2021" @default.
- W3159463837 type Work @default.
- W3159463837 sameAs 3159463837 @default.
- W3159463837 citedByCount "0" @default.
- W3159463837 crossrefType "proceedings-article" @default.
- W3159463837 hasAuthorship W3159463837A5006518349 @default.
- W3159463837 hasAuthorship W3159463837A5009531102 @default.
- W3159463837 hasAuthorship W3159463837A5028722588 @default.
- W3159463837 hasAuthorship W3159463837A5057650374 @default.
- W3159463837 hasAuthorship W3159463837A5059786940 @default.
- W3159463837 hasAuthorship W3159463837A5066476392 @default.
- W3159463837 hasAuthorship W3159463837A5078320835 @default.
- W3159463837 hasConcept C111919701 @default.
- W3159463837 hasConcept C115076146 @default.
- W3159463837 hasConcept C117896860 @default.
- W3159463837 hasConcept C121332964 @default.
- W3159463837 hasConcept C138885662 @default.
- W3159463837 hasConcept C154945302 @default.
- W3159463837 hasConcept C31972630 @default.
- W3159463837 hasConcept C41008148 @default.
- W3159463837 hasConcept C41895202 @default.
- W3159463837 hasConcept C74650414 @default.
- W3159463837 hasConcept C89805583 @default.
- W3159463837 hasConcept C95623464 @default.
- W3159463837 hasConceptScore W3159463837C111919701 @default.
- W3159463837 hasConceptScore W3159463837C115076146 @default.
- W3159463837 hasConceptScore W3159463837C117896860 @default.
- W3159463837 hasConceptScore W3159463837C121332964 @default.
- W3159463837 hasConceptScore W3159463837C138885662 @default.
- W3159463837 hasConceptScore W3159463837C154945302 @default.
- W3159463837 hasConceptScore W3159463837C31972630 @default.
- W3159463837 hasConceptScore W3159463837C41008148 @default.
- W3159463837 hasConceptScore W3159463837C41895202 @default.
- W3159463837 hasConceptScore W3159463837C74650414 @default.
- W3159463837 hasConceptScore W3159463837C89805583 @default.
- W3159463837 hasConceptScore W3159463837C95623464 @default.
- W3159463837 hasLocation W31594638371 @default.
- W3159463837 hasOpenAccess W3159463837 @default.
- W3159463837 hasPrimaryLocation W31594638371 @default.
- W3159463837 hasRelatedWork W11234935 @default.
- W3159463837 hasRelatedWork W1679810 @default.
- W3159463837 hasRelatedWork W2359602 @default.
- W3159463837 hasRelatedWork W3385323 @default.
- W3159463837 hasRelatedWork W3856460 @default.
- W3159463837 hasRelatedWork W4272462 @default.
- W3159463837 hasRelatedWork W4544403 @default.
- W3159463837 hasRelatedWork W7089629 @default.
- W3159463837 hasRelatedWork W747610 @default.
- W3159463837 hasRelatedWork W12868589 @default.
- W3159463837 isParatext "false" @default.
- W3159463837 isRetracted "false" @default.
- W3159463837 magId "3159463837" @default.
- W3159463837 workType "article" @default.