Fall Detection with the Spatial-Temporal Correlation Encoded by a Sequence-to-Sequence Denoised GAN

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 11; p. 4194
• Main Authors: Hsu, Wei-Wen, Guo, Jing-Ming, Chen, Chien-Yu, Chang, Yao-Chung
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 31.05.2022; MDPI
• Subjects: Activities of daily living; Analysis; Cameras; Datasets; Deep learning; denoised GAN; fall detection; Falls (Accidents); Furniture; Image processing; Lighting; Machine learning; Observations; Privacy; Sensors; Testing; unsupervised learning; Wearable computers; China; fall detection; denoised GAN; unsupervised learning

Falling is a major cause of personal injury and accidental death worldwide, in particular for the elderly. For aged care, a falling alarm system is highly demanded so that medical aid can be obtained immediately when the fall accidents happen. Previous studies on fall detection lacked practical cons...