Fall-from-Height Detection Using Deep Learning Based on IMU Sensor Data for Accident Prevention at Construction Sites

Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury can be represented by the acceleration peak value. In the study, a risk prediction against FFH was made using IMU sensor data for accident prevention at construction sites. Fifteen general working mov...

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Detalles Bibliográficos
Autores principales: Lee, Seunghee, Koo, Bummo, Yang, Sumin, Kim, Jongman, Nam, Yejin, Kim, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414759/
https://www.ncbi.nlm.nih.gov/pubmed/36015868
http://dx.doi.org/10.3390/s22166107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414759/
https://www.ncbi.nlm.nih.gov/pubmed/36015868
http://dx.doi.org/10.3390/s22166107

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