A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder

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dc.contributor.authorTomorn Soontornnapar
dc.contributor.authorTuchsanai Ploysuwan
dc.date.accessioned2026-05-08T19:18:40Z
dc.date.issued2024-12-19
dc.identifier.doi10.1007/s00521-024-10845-4
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/16620
dc.publisherNeural Computing and Applications
dc.subjectContext-Aware Activity Recognition Systems
dc.subjectNon-Invasive Vital Sign Monitoring
dc.subjectBalance, Gait, and Falls Prevention
dc.titleA novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder
dc.typeArticle

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