Matches in SemOpenAlex for { <https://semopenalex.org/work/W2918905246> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2918905246 abstract "In recent decades, as aging population and empty-nest families are increasing, falls in the elderly have become the health care issues that cannot be neglected. The computer vision-based methods are promising for fall detection, for they apply a camera installed indoors to monitor the movement of the elderly in real time. However, the features used in previous methods lack specificity, thus they have difficulty in distinguishing falls from some normal activities, such as crouching down. In this paper, we propose a novel fall detection method based on semi-contour distances for monitoring elderly people in the home environment. Firstly, we use the Gaussian Mixed Model (GMM) method to extract the human silhouette; then capture the geometric features, i.e. the semi-contour distances of the human silhouettes; finally apply the SVM classifiers to classify different actions to complete fall detection. The experimental results demonstrate that the accuracy of this algorithm is 86.79% and the sensitivity is 96.87%. It is shown that the proposed video-based fall detection method could achieve a reliable result." @default.
- W2918905246 created "2019-03-11" @default.
- W2918905246 creator A5003367478 @default.
- W2918905246 creator A5076946791 @default.
- W2918905246 date "2018-08-01" @default.
- W2918905246 modified "2023-09-26" @default.
- W2918905246 title "Fall detection method based on semi-contour distances" @default.
- W2918905246 cites W1573546770 @default.
- W2918905246 cites W1671410324 @default.
- W2918905246 cites W1973370227 @default.
- W2918905246 cites W2059810738 @default.
- W2918905246 cites W2078089254 @default.
- W2918905246 cites W2079118768 @default.
- W2918905246 cites W2105809017 @default.
- W2918905246 cites W2544634024 @default.
- W2918905246 cites W2546688546 @default.
- W2918905246 cites W2617799873 @default.
- W2918905246 doi "https://doi.org/10.1109/icsp.2018.8652332" @default.
- W2918905246 hasPublicationYear "2018" @default.
- W2918905246 type Work @default.
- W2918905246 sameAs 2918905246 @default.
- W2918905246 citedByCount "1" @default.
- W2918905246 countsByYear W29189052462019 @default.
- W2918905246 crossrefType "proceedings-article" @default.
- W2918905246 hasAuthorship W2918905246A5003367478 @default.
- W2918905246 hasAuthorship W2918905246A5076946791 @default.
- W2918905246 hasConcept C121332964 @default.
- W2918905246 hasConcept C12267149 @default.
- W2918905246 hasConcept C127413603 @default.
- W2918905246 hasConcept C153180895 @default.
- W2918905246 hasConcept C154945302 @default.
- W2918905246 hasConcept C163716315 @default.
- W2918905246 hasConcept C21200559 @default.
- W2918905246 hasConcept C22212356 @default.
- W2918905246 hasConcept C24326235 @default.
- W2918905246 hasConcept C2777113093 @default.
- W2918905246 hasConcept C2780156472 @default.
- W2918905246 hasConcept C2908647359 @default.
- W2918905246 hasConcept C31972630 @default.
- W2918905246 hasConcept C41008148 @default.
- W2918905246 hasConcept C58103923 @default.
- W2918905246 hasConcept C62520636 @default.
- W2918905246 hasConcept C71924100 @default.
- W2918905246 hasConcept C99454951 @default.
- W2918905246 hasConceptScore W2918905246C121332964 @default.
- W2918905246 hasConceptScore W2918905246C12267149 @default.
- W2918905246 hasConceptScore W2918905246C127413603 @default.
- W2918905246 hasConceptScore W2918905246C153180895 @default.
- W2918905246 hasConceptScore W2918905246C154945302 @default.
- W2918905246 hasConceptScore W2918905246C163716315 @default.
- W2918905246 hasConceptScore W2918905246C21200559 @default.
- W2918905246 hasConceptScore W2918905246C22212356 @default.
- W2918905246 hasConceptScore W2918905246C24326235 @default.
- W2918905246 hasConceptScore W2918905246C2777113093 @default.
- W2918905246 hasConceptScore W2918905246C2780156472 @default.
- W2918905246 hasConceptScore W2918905246C2908647359 @default.
- W2918905246 hasConceptScore W2918905246C31972630 @default.
- W2918905246 hasConceptScore W2918905246C41008148 @default.
- W2918905246 hasConceptScore W2918905246C58103923 @default.
- W2918905246 hasConceptScore W2918905246C62520636 @default.
- W2918905246 hasConceptScore W2918905246C71924100 @default.
- W2918905246 hasConceptScore W2918905246C99454951 @default.
- W2918905246 hasLocation W29189052461 @default.
- W2918905246 hasOpenAccess W2918905246 @default.
- W2918905246 hasPrimaryLocation W29189052461 @default.
- W2918905246 hasRelatedWork W1554778538 @default.
- W2918905246 hasRelatedWork W1574409659 @default.
- W2918905246 hasRelatedWork W170070852 @default.
- W2918905246 hasRelatedWork W1990977599 @default.
- W2918905246 hasRelatedWork W2051176411 @default.
- W2918905246 hasRelatedWork W2133984628 @default.
- W2918905246 hasRelatedWork W2171764042 @default.
- W2918905246 hasRelatedWork W258415494 @default.
- W2918905246 hasRelatedWork W2954309397 @default.
- W2918905246 hasRelatedWork W3022398349 @default.
- W2918905246 isParatext "false" @default.
- W2918905246 isRetracted "false" @default.
- W2918905246 magId "2918905246" @default.
- W2918905246 workType "article" @default.