FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312176146> ?p ?o ?g. }

• W4312176146 endingPage "20" @default.
• W4312176146 startingPage "20" @default.
• W4312176146 abstract "Cross-modal human pose estimation has a wide range of applications. Traditional image-based pose estimation will not work well in poor light or darkness. Therefore, some sensors such as LiDAR or Radio Frequency (RF) signals are now using to estimate human pose. However, it limits the application that these methods require much high-priced professional equipment. To address these challenges, we propose a new WiFi-based pose estimation method. Based on the Channel State Information (CSI) of WiFi, a novel architecture CSI-former is proposed to innovatively realize the integration of the multi-head attention in the WiFi-based pose estimation network. To evaluate the performance of CSI-former, we establish a span-new dataset Wi-Pose. This dataset consists of 5 GHz WiFi CSI, the corresponding images, and skeleton point annotations. The experimental results on Wi-Pose demonstrate that CSI-former can significantly improve the performance in wireless pose estimation and achieve more remarkable performance over traditional image-based pose estimation. To better benefit future research on the WiFi-based pose estimation, Wi-Pose has been made publicly available." @default.
• W4312176146 created "2023-01-04" @default.
• W4312176146 creator A5027674574 @default.
• W4312176146 creator A5033510515 @default.
• W4312176146 creator A5048558811 @default.
• W4312176146 creator A5049558643 @default.
• W4312176146 creator A5075167001 @default.
• W4312176146 creator A5082282056 @default.
• W4312176146 date "2022-12-22" @default.
• W4312176146 modified "2023-10-18" @default.
• W4312176146 title "CSI-Former: Pay More Attention to Pose Estimation with WiFi" @default.
• W4312176146 cites W1983364832 @default.
• W4312176146 cites W1994006969 @default.
• W4312176146 cites W1994977870 @default.
• W4312176146 cites W2089695767 @default.
• W4312176146 cites W2091815885 @default.
• W4312176146 cites W2095396347 @default.
• W4312176146 cites W2163171438 @default.
• W4312176146 cites W2168538666 @default.
• W4312176146 cites W2175012183 @default.
• W4312176146 cites W2194775991 @default.
• W4312176146 cites W2330154883 @default.
• W4312176146 cites W2344757691 @default.
• W4312176146 cites W2464305746 @default.
• W4312176146 cites W2510977315 @default.
• W4312176146 cites W2517331439 @default.
• W4312176146 cites W2522247037 @default.
• W4312176146 cites W2559085405 @default.
• W4312176146 cites W2563276102 @default.
• W4312176146 cites W2594230123 @default.
• W4312176146 cites W2604346130 @default.
• W4312176146 cites W2783524404 @default.
• W4312176146 cites W2795089319 @default.
• W4312176146 cites W2799062425 @default.
• W4312176146 cites W2945558306 @default.
• W4312176146 cites W2952586546 @default.
• W4312176146 cites W2963076818 @default.
• W4312176146 cites W2963781481 @default.
• W4312176146 cites W2964208152 @default.
• W4312176146 cites W2981438956 @default.
• W4312176146 cites W3008273026 @default.
• W4312176146 cites W3009976482 @default.
• W4312176146 cites W3010938738 @default.
• W4312176146 cites W3042710331 @default.
• W4312176146 cites W3109996961 @default.
• W4312176146 cites W3117357611 @default.
• W4312176146 cites W3162308483 @default.
• W4312176146 cites W3162968855 @default.
• W4312176146 cites W3164861657 @default.
• W4312176146 cites W3174635123 @default.
• W4312176146 cites W3182545801 @default.
• W4312176146 cites W3197275595 @default.
• W4312176146 cites W4212903198 @default.
• W4312176146 cites W4224312761 @default.
• W4312176146 cites W4224862095 @default.
• W4312176146 cites W4253510307 @default.
• W4312176146 cites W4285594865 @default.
• W4312176146 cites W4286490622 @default.
• W4312176146 cites W602397586 @default.
• W4312176146 doi "https://doi.org/10.3390/e25010020" @default.
• W4312176146 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36673161" @default.
• W4312176146 hasPublicationYear "2022" @default.
• W4312176146 type Work @default.
• W4312176146 citedByCount "1" @default.
• W4312176146 countsByYear W43121761462023 @default.
• W4312176146 crossrefType "journal-article" @default.
• W4312176146 hasAuthorship W4312176146A5027674574 @default.
• W4312176146 hasAuthorship W4312176146A5033510515 @default.
• W4312176146 hasAuthorship W4312176146A5048558811 @default.
• W4312176146 hasAuthorship W4312176146A5049558643 @default.
• W4312176146 hasAuthorship W4312176146A5075167001 @default.
• W4312176146 hasAuthorship W4312176146A5082282056 @default.
• W4312176146 hasBestOaLocation W43121761461 @default.
• W4312176146 hasConcept C127162648 @default.
• W4312176146 hasConcept C127413603 @default.
• W4312176146 hasConcept C148063708 @default.
• W4312176146 hasConcept C154945302 @default.
• W4312176146 hasConcept C201995342 @default.
• W4312176146 hasConcept C31972630 @default.
• W4312176146 hasConcept C36613465 @default.
• W4312176146 hasConcept C41008148 @default.
• W4312176146 hasConcept C52102323 @default.
• W4312176146 hasConcept C555944384 @default.
• W4312176146 hasConcept C76155785 @default.
• W4312176146 hasConcept C79403827 @default.
• W4312176146 hasConcept C96250715 @default.
• W4312176146 hasConceptScore W4312176146C127162648 @default.
• W4312176146 hasConceptScore W4312176146C127413603 @default.
• W4312176146 hasConceptScore W4312176146C148063708 @default.
• W4312176146 hasConceptScore W4312176146C154945302 @default.
• W4312176146 hasConceptScore W4312176146C201995342 @default.
• W4312176146 hasConceptScore W4312176146C31972630 @default.
• W4312176146 hasConceptScore W4312176146C36613465 @default.
• W4312176146 hasConceptScore W4312176146C41008148 @default.
• W4312176146 hasConceptScore W4312176146C52102323 @default.
• W4312176146 hasConceptScore W4312176146C555944384 @default.
• W4312176146 hasConceptScore W4312176146C76155785 @default.
• W4312176146 hasConceptScore W4312176146C79403827 @default.

• next