Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367016544> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4367016544 abstract "Image segmentation technology is widely used in automatic driving, smart home and other fields. However, due to the problem of privacy of image methods, they face restrictions when used in private occasions. In order to avoiding private problem image-based method, we proposed a human segmentation method based on commercial Wi-Fi devices named Wi-Seg, which is used to extract human silhouette information and generate pixel-level annotations. So that it can be integrated with existing human- computer interaction schemes using image segmentation, and avoiding the privacy problem of image segmentation methods. In this paper, the channel state index (CSI) in the Wi-Fi signal is collected as the original data, and a encoder-decoder deep neural network is designed to extract the human silhouette information from the CSI signal. Compared with the mainstream image segmentation methods, our Wi-Seg is superior to recent work that using Wi-Fi signal to extract human silhouette information, and performs as well as image segmentation methods." @default.
- W4367016544 created "2023-04-27" @default.
- W4367016544 creator A5070141658 @default.
- W4367016544 creator A5085117975 @default.
- W4367016544 creator A5088687781 @default.
- W4367016544 date "2023-02-24" @default.
- W4367016544 modified "2023-10-18" @default.
- W4367016544 title "Human Segmentation Using Commercial Wi-Fi Device" @default.
- W4367016544 cites W1989207420 @default.
- W4367016544 cites W2089695767 @default.
- W4367016544 cites W2170102584 @default.
- W4367016544 cites W2170589361 @default.
- W4367016544 cites W2338892592 @default.
- W4367016544 cites W2570080371 @default.
- W4367016544 cites W2584014069 @default.
- W4367016544 cites W2965165110 @default.
- W4367016544 cites W3010205642 @default.
- W4367016544 cites W3115190138 @default.
- W4367016544 cites W3151110855 @default.
- W4367016544 doi "https://doi.org/10.1109/nnice58320.2023.10105745" @default.
- W4367016544 hasPublicationYear "2023" @default.
- W4367016544 type Work @default.
- W4367016544 citedByCount "0" @default.
- W4367016544 crossrefType "proceedings-article" @default.
- W4367016544 hasAuthorship W4367016544A5070141658 @default.
- W4367016544 hasAuthorship W4367016544A5085117975 @default.
- W4367016544 hasAuthorship W4367016544A5088687781 @default.
- W4367016544 hasConcept C111919701 @default.
- W4367016544 hasConcept C118505674 @default.
- W4367016544 hasConcept C124504099 @default.
- W4367016544 hasConcept C127162648 @default.
- W4367016544 hasConcept C153180895 @default.
- W4367016544 hasConcept C154945302 @default.
- W4367016544 hasConcept C160633673 @default.
- W4367016544 hasConcept C25694479 @default.
- W4367016544 hasConcept C31972630 @default.
- W4367016544 hasConcept C41008148 @default.
- W4367016544 hasConcept C58103923 @default.
- W4367016544 hasConcept C65885262 @default.
- W4367016544 hasConcept C76155785 @default.
- W4367016544 hasConcept C89600930 @default.
- W4367016544 hasConceptScore W4367016544C111919701 @default.
- W4367016544 hasConceptScore W4367016544C118505674 @default.
- W4367016544 hasConceptScore W4367016544C124504099 @default.
- W4367016544 hasConceptScore W4367016544C127162648 @default.
- W4367016544 hasConceptScore W4367016544C153180895 @default.
- W4367016544 hasConceptScore W4367016544C154945302 @default.
- W4367016544 hasConceptScore W4367016544C160633673 @default.
- W4367016544 hasConceptScore W4367016544C25694479 @default.
- W4367016544 hasConceptScore W4367016544C31972630 @default.
- W4367016544 hasConceptScore W4367016544C41008148 @default.
- W4367016544 hasConceptScore W4367016544C58103923 @default.
- W4367016544 hasConceptScore W4367016544C65885262 @default.
- W4367016544 hasConceptScore W4367016544C76155785 @default.
- W4367016544 hasConceptScore W4367016544C89600930 @default.
- W4367016544 hasLocation W43670165441 @default.
- W4367016544 hasOpenAccess W4367016544 @default.
- W4367016544 hasPrimaryLocation W43670165441 @default.
- W4367016544 hasRelatedWork W1507266234 @default.
- W4367016544 hasRelatedWork W1631910785 @default.
- W4367016544 hasRelatedWork W1669643531 @default.
- W4367016544 hasRelatedWork W2069711651 @default.
- W4367016544 hasRelatedWork W2110230079 @default.
- W4367016544 hasRelatedWork W2117933325 @default.
- W4367016544 hasRelatedWork W2558375057 @default.
- W4367016544 hasRelatedWork W2739874619 @default.
- W4367016544 hasRelatedWork W3197341992 @default.
- W4367016544 hasRelatedWork W1967061043 @default.
- W4367016544 isParatext "false" @default.
- W4367016544 isRetracted "false" @default.
- W4367016544 workType "article" @default.