A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder.
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| Title: | A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder. |
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| Authors: | Soontornnapar, Tomorn1, tomorn.soo@siam.edu, Ploysuwan, Tuchsanai1, tuchsanai@it.kmitl.ac.th |
| Source: | Neural Computing & Applications; Feb2025, Vol. 37 Issue 6, p4229-4245, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 182882393 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Soontornnapar%2C+Tomorn%22">Soontornnapar, Tomorn</searchLink><relatesTo>1</relatesTo>, <i>tomorn.soo@siam.edu</i><br /><searchLink fieldCode="AU" term="%22Ploysuwan%2C+Tuchsanai%22">Ploysuwan, Tuchsanai</searchLink><relatesTo>1</relatesTo>, <i>tuchsanai@it.kmitl.ac.th</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Feb2025, Vol. 37 Issue 6, p4229-4245, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182882393 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-024-10845-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 4229 Titles: – TitleFull: A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Soontornnapar, Tomorn – PersonEntity: Name: NameFull: Ploysuwan, Tuchsanai IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 37 – Type: issue Value: 6 Titles: – TitleFull: Neural Computing & Applications Type: main |
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