Cargando…
Closed-Chain Inverse Dynamics for the Biomechanical Analysis of Manual Material Handling Tasks through a Deep Learning Assisted Wearable Sensor Network
Despite the automatization of many industrial and logistics processes, human workers are still often involved in the manual handling of loads. These activities lead to many work-related disorders that reduce the quality of life and the productivity of aged workers. A biomechanical analysis of such a...
Autores principales: | Bezzini, Riccardo, Crosato, Luca, Teppati Losè, Massimo, Avizzano, Carlo Alberto, Bergamasco, Massimo, Filippeschi, Alessandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346774/ https://www.ncbi.nlm.nih.gov/pubmed/37447734 http://dx.doi.org/10.3390/s23135885 |
Ejemplares similares
-
Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling
por: Giannini, Paolo, et al.
Publicado: (2020) -
Biomechanical investigation of tasks concerning manual materials handling using response surface methodology
por: Adhaye, Amit M., et al.
Publicado: (2023) -
Biomechanical Consequences of Using Passive and Active Back-Support Exoskeletons during Different Manual Handling Tasks
por: Schwartz, Mathilde, et al.
Publicado: (2023) -
Maximum acceptable frequency of lift for combined manual material handling task in Malaysia
por: Widia, Mirta, et al.
Publicado: (2019) -
Dynamic assessment for low back-support exoskeletons during manual handling tasks
por: Xiang, Xiaohan, et al.
Publicado: (2023)