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Estimation and Validation of Body Segment Parameters Using 3D Geometric Model of Human Body for Female Workers of Central India

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Title Estimation and Validation of Body Segment Parameters Using 3D Geometric Model of Human Body for Female Workers of Central India
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Creator Manisha Jagadale, K. N. Agrawal, C. R. Mehta, R. R. Potdar, Nandni Thakur
 
Subject Segment mass, Center of mass, Moments of inertia, Segment length, Female agricultural workers
 
Description Not Available
Body segment parameters are required as input parameters to analyze the forces and moments acting on the
joints. They can be used to design the farm tools, protective clothing, equipment, and workplaces. The study was planned
to develop geometric models for female agricultural workers of Central India. Anthropometric data of 180 female agricultural
workers aged between 25 and 45 years having weight of 45.74 ± (7.56) kg and height of 1510 ± (50) mm were
collected to develop 14-segmental 3D geometrical models. The values of mean, maximum, minimum, standard deviation
(SD) and 5th and 95th percentile anthropometric dimension were calculated. Based on geometric models, mass, density,
volume, center of mass (COM) and moments of inertia of body segments were calculated. To test the validity of the model
with other models for body segment parameters, an analysis was carried out using SAS 9.3 software with one-way analysis
of variance. There was a significant difference (p \ 0.01) between the study model and other models based on Dunnett’s
multiple comparisons post hoc test. From post hoc test analysis, it was observed that developed 14 segments geometric
model can be used to determine body segment parameters (BSPs), i.e., segment mass, volume, center of mass (COM) and
radius of gyration (RG).
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Date 2022-04-30T06:59:41Z
2022-04-30T06:59:41Z
2021-10-01
 
Type Research Paper
 
Identifier agadale, M., Agrawal, K.N., Mehta, C.R. et al. Estimation and Validation of Body Segment Parameters Using 3D Geometric Model of Human Body for Female Workers of Central India. Agric Res (2021). https://doi.org/10.1007/s40003-021-00608-1
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/71784
 
Language English
 
Relation Not Available;
 
Publisher Springer