Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381746720> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4381746720 abstract "Sensor-based Human Activity Recognition (HAR) is a research field that has been widely studied in Pervasive Computing. Due to its many applications from healthcare to well-being, sensor-based HAR has been proposed to recognize high-level activities considering smart-homes environmental sensors as well as low-level activities using wearable sensors. The most effective solutions presented so far rely on supervised learning approaches, that have the potential of reaching high recognition rates. However, such approaches assume that large amounts of labeled data are available. Annotating human activities is costly, time-consuming, intrusive, and often prohibitive. Considering the high variability of activity execution among different subjects, methods that are capable of personalizing to each subject with limited labeled data are needed. In the last few years, several research groups are indeed working hard trying to mitigate this problem. However, data scarcity still remains an open challenge in sensor-based HAR. This talk presents latest research efforts on these topics. In particular, the talk will cover: a) purely knowledge-based approaches enhanced with active learning for smart-home sensor data, b) hybrid data-driven and knowledge-based approaches relying on context data to mitigate data scarcity in mobile settings, and c) semi-supervised federated learning approaches. We will discuss the above-mentioned challenges, report our experience and identify critical aspects which still need to be investigated." @default.
- W4381746720 created "2023-06-24" @default.
- W4381746720 creator A5068914794 @default.
- W4381746720 date "2023-03-13" @default.
- W4381746720 modified "2023-09-26" @default.
- W4381746720 title "Keynote: Data Scarcity in Sensor-Based Human Activity Recognition" @default.
- W4381746720 doi "https://doi.org/10.1109/percomworkshops56833.2023.10150363" @default.
- W4381746720 hasPublicationYear "2023" @default.
- W4381746720 type Work @default.
- W4381746720 citedByCount "0" @default.
- W4381746720 crossrefType "proceedings-article" @default.
- W4381746720 hasAuthorship W4381746720A5068914794 @default.
- W4381746720 hasBestOaLocation W43817467201 @default.
- W4381746720 hasConcept C107457646 @default.
- W4381746720 hasConcept C109747225 @default.
- W4381746720 hasConcept C119857082 @default.
- W4381746720 hasConcept C121687571 @default.
- W4381746720 hasConcept C127413603 @default.
- W4381746720 hasConcept C149635348 @default.
- W4381746720 hasConcept C150594956 @default.
- W4381746720 hasConcept C151730666 @default.
- W4381746720 hasConcept C154945302 @default.
- W4381746720 hasConcept C162324750 @default.
- W4381746720 hasConcept C175444787 @default.
- W4381746720 hasConcept C202444582 @default.
- W4381746720 hasConcept C2522767166 @default.
- W4381746720 hasConcept C2779343474 @default.
- W4381746720 hasConcept C2780428219 @default.
- W4381746720 hasConcept C33923547 @default.
- W4381746720 hasConcept C41008148 @default.
- W4381746720 hasConcept C54290928 @default.
- W4381746720 hasConcept C78519656 @default.
- W4381746720 hasConcept C86803240 @default.
- W4381746720 hasConcept C9652623 @default.
- W4381746720 hasConceptScore W4381746720C107457646 @default.
- W4381746720 hasConceptScore W4381746720C109747225 @default.
- W4381746720 hasConceptScore W4381746720C119857082 @default.
- W4381746720 hasConceptScore W4381746720C121687571 @default.
- W4381746720 hasConceptScore W4381746720C127413603 @default.
- W4381746720 hasConceptScore W4381746720C149635348 @default.
- W4381746720 hasConceptScore W4381746720C150594956 @default.
- W4381746720 hasConceptScore W4381746720C151730666 @default.
- W4381746720 hasConceptScore W4381746720C154945302 @default.
- W4381746720 hasConceptScore W4381746720C162324750 @default.
- W4381746720 hasConceptScore W4381746720C175444787 @default.
- W4381746720 hasConceptScore W4381746720C202444582 @default.
- W4381746720 hasConceptScore W4381746720C2522767166 @default.
- W4381746720 hasConceptScore W4381746720C2779343474 @default.
- W4381746720 hasConceptScore W4381746720C2780428219 @default.
- W4381746720 hasConceptScore W4381746720C33923547 @default.
- W4381746720 hasConceptScore W4381746720C41008148 @default.
- W4381746720 hasConceptScore W4381746720C54290928 @default.
- W4381746720 hasConceptScore W4381746720C78519656 @default.
- W4381746720 hasConceptScore W4381746720C86803240 @default.
- W4381746720 hasConceptScore W4381746720C9652623 @default.
- W4381746720 hasLocation W43817467201 @default.
- W4381746720 hasOpenAccess W4381746720 @default.
- W4381746720 hasPrimaryLocation W43817467201 @default.
- W4381746720 hasRelatedWork W2039745708 @default.
- W4381746720 hasRelatedWork W2053576664 @default.
- W4381746720 hasRelatedWork W2103792013 @default.
- W4381746720 hasRelatedWork W2923896653 @default.
- W4381746720 hasRelatedWork W2994727456 @default.
- W4381746720 hasRelatedWork W3006135479 @default.
- W4381746720 hasRelatedWork W3103572718 @default.
- W4381746720 hasRelatedWork W3170211675 @default.
- W4381746720 hasRelatedWork W3201415729 @default.
- W4381746720 hasRelatedWork W4287990776 @default.
- W4381746720 isParatext "false" @default.
- W4381746720 isRetracted "false" @default.
- W4381746720 workType "article" @default.