Matches in SemOpenAlex for { <https://semopenalex.org/work/W2496642228> ?p ?o ?g. }
- W2496642228 abstract "Human motion recognition using wearable sensors is becoming a popular topic in the field of mobile health recently. However, most previous studies haven’t solved the problem of unlabeled motion recognition very well due to the limitation of learning ability of their systems. In this paper, we propose a self-learning based motion recognition scheme for mobile healthcare, in which a patient only needs to carry an ordinary smartphone that integrates some common inertial sensors, and both labeled and unlabeled motion types can be recognized by using a self-learning data analysis scheme. Experimental results demonstrate that the proposed self-learning scheme behaves better than some existing ones, and its average accuracy reaches above 80 % for motion recognition." @default.
- W2496642228 created "2016-08-23" @default.
- W2496642228 creator A5001694472 @default.
- W2496642228 creator A5030902303 @default.
- W2496642228 creator A5048016442 @default.
- W2496642228 creator A5058990428 @default.
- W2496642228 creator A5073574475 @default.
- W2496642228 date "2016-01-01" @default.
- W2496642228 modified "2023-10-07" @default.
- W2496642228 title "Self-learning Based Motion Recognition Using Sensors Embedded in a Smartphone for Mobile Healthcare" @default.
- W2496642228 cites W1422142395 @default.
- W2496642228 cites W1971747485 @default.
- W2496642228 cites W1988189469 @default.
- W2496642228 cites W2041608059 @default.
- W2496642228 cites W2050230532 @default.
- W2496642228 cites W2065908225 @default.
- W2496642228 cites W2072914889 @default.
- W2496642228 cites W2102185886 @default.
- W2496642228 cites W2105046342 @default.
- W2496642228 cites W2106996050 @default.
- W2496642228 cites W2126868529 @default.
- W2496642228 cites W2132870739 @default.
- W2496642228 cites W2155268664 @default.
- W2496642228 cites W2911964244 @default.
- W2496642228 cites W4240338048 @default.
- W2496642228 cites W4240592325 @default.
- W2496642228 doi "https://doi.org/10.1007/978-3-319-42836-9_31" @default.
- W2496642228 hasPublicationYear "2016" @default.
- W2496642228 type Work @default.
- W2496642228 sameAs 2496642228 @default.
- W2496642228 citedByCount "2" @default.
- W2496642228 countsByYear W24966422282019 @default.
- W2496642228 crossrefType "book-chapter" @default.
- W2496642228 hasAuthorship W2496642228A5001694472 @default.
- W2496642228 hasAuthorship W2496642228A5030902303 @default.
- W2496642228 hasAuthorship W2496642228A5048016442 @default.
- W2496642228 hasAuthorship W2496642228A5058990428 @default.
- W2496642228 hasAuthorship W2496642228A5073574475 @default.
- W2496642228 hasConcept C104114177 @default.
- W2496642228 hasConcept C107457646 @default.
- W2496642228 hasConcept C111919701 @default.
- W2496642228 hasConcept C119857082 @default.
- W2496642228 hasConcept C121687571 @default.
- W2496642228 hasConcept C134306372 @default.
- W2496642228 hasConcept C144543869 @default.
- W2496642228 hasConcept C149635348 @default.
- W2496642228 hasConcept C150594956 @default.
- W2496642228 hasConcept C154945302 @default.
- W2496642228 hasConcept C186967261 @default.
- W2496642228 hasConcept C202444582 @default.
- W2496642228 hasConcept C31258907 @default.
- W2496642228 hasConcept C31972630 @default.
- W2496642228 hasConcept C33923547 @default.
- W2496642228 hasConcept C41008148 @default.
- W2496642228 hasConcept C54290928 @default.
- W2496642228 hasConcept C77618280 @default.
- W2496642228 hasConcept C79061980 @default.
- W2496642228 hasConcept C9652623 @default.
- W2496642228 hasConceptScore W2496642228C104114177 @default.
- W2496642228 hasConceptScore W2496642228C107457646 @default.
- W2496642228 hasConceptScore W2496642228C111919701 @default.
- W2496642228 hasConceptScore W2496642228C119857082 @default.
- W2496642228 hasConceptScore W2496642228C121687571 @default.
- W2496642228 hasConceptScore W2496642228C134306372 @default.
- W2496642228 hasConceptScore W2496642228C144543869 @default.
- W2496642228 hasConceptScore W2496642228C149635348 @default.
- W2496642228 hasConceptScore W2496642228C150594956 @default.
- W2496642228 hasConceptScore W2496642228C154945302 @default.
- W2496642228 hasConceptScore W2496642228C186967261 @default.
- W2496642228 hasConceptScore W2496642228C202444582 @default.
- W2496642228 hasConceptScore W2496642228C31258907 @default.
- W2496642228 hasConceptScore W2496642228C31972630 @default.
- W2496642228 hasConceptScore W2496642228C33923547 @default.
- W2496642228 hasConceptScore W2496642228C41008148 @default.
- W2496642228 hasConceptScore W2496642228C54290928 @default.
- W2496642228 hasConceptScore W2496642228C77618280 @default.
- W2496642228 hasConceptScore W2496642228C79061980 @default.
- W2496642228 hasConceptScore W2496642228C9652623 @default.
- W2496642228 hasLocation W24966422281 @default.
- W2496642228 hasOpenAccess W2496642228 @default.
- W2496642228 hasPrimaryLocation W24966422281 @default.
- W2496642228 hasRelatedWork W1980565682 @default.
- W2496642228 hasRelatedWork W2021814457 @default.
- W2496642228 hasRelatedWork W2342843801 @default.
- W2496642228 hasRelatedWork W2767005248 @default.
- W2496642228 hasRelatedWork W2776652812 @default.
- W2496642228 hasRelatedWork W2883771917 @default.
- W2496642228 hasRelatedWork W2889637682 @default.
- W2496642228 hasRelatedWork W2913330565 @default.
- W2496642228 hasRelatedWork W2938652275 @default.
- W2496642228 hasRelatedWork W2945689446 @default.
- W2496642228 hasRelatedWork W2987103145 @default.
- W2496642228 hasRelatedWork W3007133850 @default.
- W2496642228 hasRelatedWork W3013788126 @default.
- W2496642228 hasRelatedWork W3015274051 @default.
- W2496642228 hasRelatedWork W3091973859 @default.
- W2496642228 hasRelatedWork W3099043301 @default.
- W2496642228 hasRelatedWork W3162237909 @default.
- W2496642228 hasRelatedWork W3204350215 @default.
- W2496642228 hasRelatedWork W3211143398 @default.