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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Autors principals:	Seunghee Lee, Bummo Koo, Sumin Yang, Jongman Kim, Yejin Nam, Youngho Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-08-01
Col·lecció:	Sensors
Matèries:	fall-from-height IMU sensor deep learning risk prediction
Accés en línia:	https://www.mdpi.com/1424-8220/22/16/6107
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