Matches in SemOpenAlex for { <https://semopenalex.org/work/W3208098900> ?p ?o ?g. }
- W3208098900 abstract "Human activity recognition is seen of great importance in the medical and surveillance fields. Radar has shown great feasibility for this field based on the captured micro-Doppler <tex>$(mu-mathrm{D})$</tex> signatures. In this paper, a MIMO radar is used to formulate a novel micro-motion spectrogram for the angular velocity <tex>$(mu -omega)$</tex> in non-tangential scenarios. Combining both the <tex>$mu-mathrm{D}$</tex> and the <tex>$mu -omega$</tex> signatures have shown better performance. Classification accuracy of 88.9 % was achieved based on a metric learning approach. The experimental setup was designed to capture micro-motion signatures on different aspect angles and line of sight (LOS). The utilized training dataset was of smaller size compared to the state-of-the-art techniques, where eight activities were captured. A few-shot learning approach is used to adapt the pre-trained model for fall detection. The final model has shown a classification accuracy of 86.42 % for ten activities." @default.
- W3208098900 created "2021-11-08" @default.
- W3208098900 creator A5013155098 @default.
- W3208098900 creator A5031354877 @default.
- W3208098900 creator A5046781368 @default.
- W3208098900 creator A5083054888 @default.
- W3208098900 creator A5083699065 @default.
- W3208098900 date "2022-03-21" @default.
- W3208098900 modified "2023-09-27" @default.
- W3208098900 title "A MIMO Radar-Based Metric Learning Approach for Activity Recognition" @default.
- W3208098900 cites W2102851145 @default.
- W3208098900 cites W2112475275 @default.
- W3208098900 cites W2153594606 @default.
- W3208098900 cites W2407362091 @default.
- W3208098900 cites W2429342570 @default.
- W3208098900 cites W2437887222 @default.
- W3208098900 cites W2443665098 @default.
- W3208098900 cites W2497052677 @default.
- W3208098900 cites W2783794174 @default.
- W3208098900 cites W2789436454 @default.
- W3208098900 cites W2804784684 @default.
- W3208098900 cites W2900298146 @default.
- W3208098900 cites W2911053187 @default.
- W3208098900 cites W2913331462 @default.
- W3208098900 cites W2941483329 @default.
- W3208098900 cites W2944320448 @default.
- W3208098900 cites W2945882749 @default.
- W3208098900 cites W2954377489 @default.
- W3208098900 cites W2962778030 @default.
- W3208098900 cites W2973630397 @default.
- W3208098900 cites W2996290984 @default.
- W3208098900 cites W3012349835 @default.
- W3208098900 cites W3013959047 @default.
- W3208098900 cites W3024958057 @default.
- W3208098900 cites W3034433182 @default.
- W3208098900 cites W3034679438 @default.
- W3208098900 cites W3111543755 @default.
- W3208098900 cites W3132773732 @default.
- W3208098900 cites W3182439212 @default.
- W3208098900 doi "https://doi.org/10.1109/radarconf2248738.2022.9764202" @default.
- W3208098900 hasPublicationYear "2022" @default.
- W3208098900 type Work @default.
- W3208098900 sameAs 3208098900 @default.
- W3208098900 citedByCount "3" @default.
- W3208098900 countsByYear W32080989002022 @default.
- W3208098900 countsByYear W32080989002023 @default.
- W3208098900 crossrefType "proceedings-article" @default.
- W3208098900 hasAuthorship W3208098900A5013155098 @default.
- W3208098900 hasAuthorship W3208098900A5031354877 @default.
- W3208098900 hasAuthorship W3208098900A5046781368 @default.
- W3208098900 hasAuthorship W3208098900A5083054888 @default.
- W3208098900 hasAuthorship W3208098900A5083699065 @default.
- W3208098900 hasBestOaLocation W32080989002 @default.
- W3208098900 hasConcept C104114177 @default.
- W3208098900 hasConcept C121332964 @default.
- W3208098900 hasConcept C127413603 @default.
- W3208098900 hasConcept C154945302 @default.
- W3208098900 hasConcept C176217482 @default.
- W3208098900 hasConcept C202444582 @default.
- W3208098900 hasConcept C21547014 @default.
- W3208098900 hasConcept C2778559676 @default.
- W3208098900 hasConcept C2779557605 @default.
- W3208098900 hasConcept C31972630 @default.
- W3208098900 hasConcept C33923547 @default.
- W3208098900 hasConcept C41008148 @default.
- W3208098900 hasConcept C45273575 @default.
- W3208098900 hasConcept C554190296 @default.
- W3208098900 hasConcept C62520636 @default.
- W3208098900 hasConcept C76155785 @default.
- W3208098900 hasConcept C9652623 @default.
- W3208098900 hasConceptScore W3208098900C104114177 @default.
- W3208098900 hasConceptScore W3208098900C121332964 @default.
- W3208098900 hasConceptScore W3208098900C127413603 @default.
- W3208098900 hasConceptScore W3208098900C154945302 @default.
- W3208098900 hasConceptScore W3208098900C176217482 @default.
- W3208098900 hasConceptScore W3208098900C202444582 @default.
- W3208098900 hasConceptScore W3208098900C21547014 @default.
- W3208098900 hasConceptScore W3208098900C2778559676 @default.
- W3208098900 hasConceptScore W3208098900C2779557605 @default.
- W3208098900 hasConceptScore W3208098900C31972630 @default.
- W3208098900 hasConceptScore W3208098900C33923547 @default.
- W3208098900 hasConceptScore W3208098900C41008148 @default.
- W3208098900 hasConceptScore W3208098900C45273575 @default.
- W3208098900 hasConceptScore W3208098900C554190296 @default.
- W3208098900 hasConceptScore W3208098900C62520636 @default.
- W3208098900 hasConceptScore W3208098900C76155785 @default.
- W3208098900 hasConceptScore W3208098900C9652623 @default.
- W3208098900 hasLocation W32080989001 @default.
- W3208098900 hasLocation W32080989002 @default.
- W3208098900 hasOpenAccess W3208098900 @default.
- W3208098900 hasPrimaryLocation W32080989001 @default.
- W3208098900 hasRelatedWork W2029249305 @default.
- W3208098900 hasRelatedWork W2115571026 @default.
- W3208098900 hasRelatedWork W2140468889 @default.
- W3208098900 hasRelatedWork W2511137960 @default.
- W3208098900 hasRelatedWork W2604231787 @default.
- W3208098900 hasRelatedWork W2610014769 @default.
- W3208098900 hasRelatedWork W2687972263 @default.
- W3208098900 hasRelatedWork W3084370450 @default.
- W3208098900 hasRelatedWork W3214088465 @default.