Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382935618> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4382935618 abstract "Fall detection is a critical task in healthcare and elderly monitoring systems, and Wi-Fi signals have emerged as a promising solution. In this paper, we propose a new approach for intelligent real-time fall detection using fine-grained Channel State Information (CSI) of Wi-Fi signals. The proposed model, FallCNN, is a deep Convolutional Neural Network (CNN) trained on a dataset of Wi-Fi CSI data collected for seven daily human activities performed in an indoor environment. FallCNN benefits from raw Wi-Fi CSI data and outputs a binary classification for fall detection. To improve performance and generalization ability, the proposed approach employs time series data augmentation. We evaluate the proposed model on a dataset that includes falls. The proposed work addresses the limitations of existing methods and demonstrates the potential of Wi-Fi-based fall detection in real-world applications. Experimental results and performance evaluation confirm the effectiveness of the proposed approach." @default.
- W4382935618 created "2023-07-04" @default.
- W4382935618 creator A5017955043 @default.
- W4382935618 creator A5030246194 @default.
- W4382935618 creator A5082600907 @default.
- W4382935618 date "2023-06-07" @default.
- W4382935618 modified "2023-09-27" @default.
- W4382935618 title "Leveraging Wi-Fi CSI Data for Fall Detection: A Deep Learning Approach" @default.
- W4382935618 cites W2338892592 @default.
- W4382935618 cites W2340862004 @default.
- W4382935618 cites W2598525681 @default.
- W4382935618 cites W2783857023 @default.
- W4382935618 cites W2952065976 @default.
- W4382935618 cites W2969645632 @default.
- W4382935618 cites W3031570917 @default.
- W4382935618 cites W3045907623 @default.
- W4382935618 cites W3046296398 @default.
- W4382935618 cites W3140854437 @default.
- W4382935618 cites W3203023227 @default.
- W4382935618 cites W3210415230 @default.
- W4382935618 doi "https://doi.org/10.1109/biosmart58455.2023.10162090" @default.
- W4382935618 hasPublicationYear "2023" @default.
- W4382935618 type Work @default.
- W4382935618 citedByCount "0" @default.
- W4382935618 crossrefType "proceedings-article" @default.
- W4382935618 hasAuthorship W4382935618A5017955043 @default.
- W4382935618 hasAuthorship W4382935618A5030246194 @default.
- W4382935618 hasAuthorship W4382935618A5082600907 @default.
- W4382935618 hasConcept C108583219 @default.
- W4382935618 hasConcept C119857082 @default.
- W4382935618 hasConcept C12267149 @default.
- W4382935618 hasConcept C124101348 @default.
- W4382935618 hasConcept C132964779 @default.
- W4382935618 hasConcept C134306372 @default.
- W4382935618 hasConcept C148063708 @default.
- W4382935618 hasConcept C154945302 @default.
- W4382935618 hasConcept C162324750 @default.
- W4382935618 hasConcept C177148314 @default.
- W4382935618 hasConcept C187736073 @default.
- W4382935618 hasConcept C199360897 @default.
- W4382935618 hasConcept C2780451532 @default.
- W4382935618 hasConcept C33923547 @default.
- W4382935618 hasConcept C41008148 @default.
- W4382935618 hasConcept C50644808 @default.
- W4382935618 hasConcept C555944384 @default.
- W4382935618 hasConcept C66905080 @default.
- W4382935618 hasConcept C76155785 @default.
- W4382935618 hasConcept C79403827 @default.
- W4382935618 hasConcept C81363708 @default.
- W4382935618 hasConceptScore W4382935618C108583219 @default.
- W4382935618 hasConceptScore W4382935618C119857082 @default.
- W4382935618 hasConceptScore W4382935618C12267149 @default.
- W4382935618 hasConceptScore W4382935618C124101348 @default.
- W4382935618 hasConceptScore W4382935618C132964779 @default.
- W4382935618 hasConceptScore W4382935618C134306372 @default.
- W4382935618 hasConceptScore W4382935618C148063708 @default.
- W4382935618 hasConceptScore W4382935618C154945302 @default.
- W4382935618 hasConceptScore W4382935618C162324750 @default.
- W4382935618 hasConceptScore W4382935618C177148314 @default.
- W4382935618 hasConceptScore W4382935618C187736073 @default.
- W4382935618 hasConceptScore W4382935618C199360897 @default.
- W4382935618 hasConceptScore W4382935618C2780451532 @default.
- W4382935618 hasConceptScore W4382935618C33923547 @default.
- W4382935618 hasConceptScore W4382935618C41008148 @default.
- W4382935618 hasConceptScore W4382935618C50644808 @default.
- W4382935618 hasConceptScore W4382935618C555944384 @default.
- W4382935618 hasConceptScore W4382935618C66905080 @default.
- W4382935618 hasConceptScore W4382935618C76155785 @default.
- W4382935618 hasConceptScore W4382935618C79403827 @default.
- W4382935618 hasConceptScore W4382935618C81363708 @default.
- W4382935618 hasLocation W43829356181 @default.
- W4382935618 hasOpenAccess W4382935618 @default.
- W4382935618 hasPrimaryLocation W43829356181 @default.
- W4382935618 hasRelatedWork W2337926734 @default.
- W4382935618 hasRelatedWork W3215867059 @default.
- W4382935618 hasRelatedWork W4246751904 @default.
- W4382935618 hasRelatedWork W4315694979 @default.
- W4382935618 hasRelatedWork W4319994054 @default.
- W4382935618 hasRelatedWork W4320802194 @default.
- W4382935618 hasRelatedWork W4366224123 @default.
- W4382935618 hasRelatedWork W4381487685 @default.
- W4382935618 hasRelatedWork W4381832759 @default.
- W4382935618 hasRelatedWork W4382193078 @default.
- W4382935618 isParatext "false" @default.
- W4382935618 isRetracted "false" @default.
- W4382935618 workType "article" @default.