TinyFallNet: A Lightweight Pre-Impact Fall Detection Model

Falls represent a significant health concern for the elderly. While studies on deep learning-based preimpact fall detection have been conducted to mitigate fall-related injuries, additional efforts are needed for embedding in microcomputer units (MCUs). In this study, ConvLSTM, the state-of-the-art...

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Detalles Bibliográficos
Autores principales: Koo, Bummo, Yu, Xiaoqun, Lee, Seunghee, Yang, Sumin, Kim, Dongkwon, Xiong, Shuping, Kim, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610937/
https://www.ncbi.nlm.nih.gov/pubmed/37896552
http://dx.doi.org/10.3390/s23208459

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610937/
https://www.ncbi.nlm.nih.gov/pubmed/37896552
http://dx.doi.org/10.3390/s23208459

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