Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385187310> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4385187310 abstract "There is a need to improve fall detection systems to better discriminate falls from regular daily activities. Multi-sensor systems were proposed for this purpose. However, using wearable sensors may not be practical for elderly people. The use of surveillance cameras and advanced computer vision algorithms is thus an attractive solution. Indeed, raw RGB frames are rich in information including the human body shape and motions during activities. Yet, several disturbing features extracted from the raw frames may prevent distinguishing between normal activities and fall. To address this issue, we here leverage the human skeleton, and the binary history of motion during the activity. The former was analyzed with a Convolution Long Short Memory (ConvLSTM) to include spatial features during sequence learning. The latter was processed with a lightweight network for feature extraction. The outputs from both streams were merged to discriminate between fall and normal activities. Using the UP Fall dataset, our model detected falls with a single camera with a test accuracy of 100%, an improvement of 0.01% over current state-of-the-art methods." @default.
- W4385187310 created "2023-07-25" @default.
- W4385187310 creator A5027793857 @default.
- W4385187310 creator A5040969543 @default.
- W4385187310 creator A5057324156 @default.
- W4385187310 creator A5089539531 @default.
- W4385187310 date "2023-06-19" @default.
- W4385187310 modified "2023-09-26" @default.
- W4385187310 title "A Deep Learning Dual-Stream Framework for Fall Detection" @default.
- W4385187310 cites W1515590331 @default.
- W4385187310 cites W1545425243 @default.
- W4385187310 cites W1973370227 @default.
- W4385187310 cites W2041365973 @default.
- W4385187310 cites W2064675550 @default.
- W4385187310 cites W2175012183 @default.
- W4385187310 cites W2183622023 @default.
- W4385187310 cites W2467677331 @default.
- W4385187310 cites W2559085405 @default.
- W4385187310 cites W2766736793 @default.
- W4385187310 cites W2780609751 @default.
- W4385187310 cites W2803242616 @default.
- W4385187310 cites W2809325658 @default.
- W4385187310 cites W2923962425 @default.
- W4385187310 cites W2941398656 @default.
- W4385187310 cites W2945362095 @default.
- W4385187310 cites W2958901170 @default.
- W4385187310 cites W2964839244 @default.
- W4385187310 cites W3006905737 @default.
- W4385187310 cites W3007412063 @default.
- W4385187310 cites W3009322598 @default.
- W4385187310 cites W3015643484 @default.
- W4385187310 cites W3101028550 @default.
- W4385187310 cites W3125298362 @default.
- W4385187310 cites W4214865698 @default.
- W4385187310 cites W4281770078 @default.
- W4385187310 cites W4286433273 @default.
- W4385187310 cites W4315777032 @default.
- W4385187310 doi "https://doi.org/10.1109/iwcmc58020.2023.10182736" @default.
- W4385187310 hasPublicationYear "2023" @default.
- W4385187310 type Work @default.
- W4385187310 citedByCount "0" @default.
- W4385187310 crossrefType "proceedings-article" @default.
- W4385187310 hasAuthorship W4385187310A5027793857 @default.
- W4385187310 hasAuthorship W4385187310A5040969543 @default.
- W4385187310 hasAuthorship W4385187310A5057324156 @default.
- W4385187310 hasAuthorship W4385187310A5089539531 @default.
- W4385187310 hasConcept C108583219 @default.
- W4385187310 hasConcept C121687571 @default.
- W4385187310 hasConcept C138885662 @default.
- W4385187310 hasConcept C149635348 @default.
- W4385187310 hasConcept C150594956 @default.
- W4385187310 hasConcept C153083717 @default.
- W4385187310 hasConcept C153180895 @default.
- W4385187310 hasConcept C154945302 @default.
- W4385187310 hasConcept C2776401178 @default.
- W4385187310 hasConcept C31972630 @default.
- W4385187310 hasConcept C41008148 @default.
- W4385187310 hasConcept C41895202 @default.
- W4385187310 hasConcept C45347329 @default.
- W4385187310 hasConcept C50644808 @default.
- W4385187310 hasConcept C52622490 @default.
- W4385187310 hasConcept C82990744 @default.
- W4385187310 hasConceptScore W4385187310C108583219 @default.
- W4385187310 hasConceptScore W4385187310C121687571 @default.
- W4385187310 hasConceptScore W4385187310C138885662 @default.
- W4385187310 hasConceptScore W4385187310C149635348 @default.
- W4385187310 hasConceptScore W4385187310C150594956 @default.
- W4385187310 hasConceptScore W4385187310C153083717 @default.
- W4385187310 hasConceptScore W4385187310C153180895 @default.
- W4385187310 hasConceptScore W4385187310C154945302 @default.
- W4385187310 hasConceptScore W4385187310C2776401178 @default.
- W4385187310 hasConceptScore W4385187310C31972630 @default.
- W4385187310 hasConceptScore W4385187310C41008148 @default.
- W4385187310 hasConceptScore W4385187310C41895202 @default.
- W4385187310 hasConceptScore W4385187310C45347329 @default.
- W4385187310 hasConceptScore W4385187310C50644808 @default.
- W4385187310 hasConceptScore W4385187310C52622490 @default.
- W4385187310 hasConceptScore W4385187310C82990744 @default.
- W4385187310 hasLocation W43851873101 @default.
- W4385187310 hasOpenAccess W4385187310 @default.
- W4385187310 hasPrimaryLocation W43851873101 @default.
- W4385187310 hasRelatedWork W2241457321 @default.
- W4385187310 hasRelatedWork W2534909612 @default.
- W4385187310 hasRelatedWork W2546942002 @default.
- W4385187310 hasRelatedWork W2733060750 @default.
- W4385187310 hasRelatedWork W2773120646 @default.
- W4385187310 hasRelatedWork W2922225723 @default.
- W4385187310 hasRelatedWork W3156786002 @default.
- W4385187310 hasRelatedWork W4220929574 @default.
- W4385187310 hasRelatedWork W4315783664 @default.
- W4385187310 hasRelatedWork W4317987726 @default.
- W4385187310 isParatext "false" @default.
- W4385187310 isRetracted "false" @default.
- W4385187310 workType "article" @default.