3D Digital Adaptive Thorax Modelling of Peoples with Spinal Disabilities: Applications for Performance Clothing Design

Autor: Guillaume Tartare, Sara Mosleh, Pascal Bruniaux, Yukang Xu, Yan Chen, Mulat Alubel Abtew
Jazyk: angličtina
Rok vydání: 2021
Předmět:
010407 polymers
0209 industrial biotechnology
Technology
Computer science
QH301-705.5
QC1-999
clothing design
02 engineering and technology
Scoliosis
computer.software_genre
01 natural sciences
computer-aided design
adaptive thorax modelling
020901 industrial engineering & automation
spinal deformity
medicine
Computer Aided Design
Thorax (insect anatomy)
General Materials Science
Computer vision
Biology (General)
Instrumentation
QD1-999
Digitization
Parametric statistics
Fluid Flow and Transfer Processes
scoliosis
business.industry
Process Chemistry and Technology
Physics
General Engineering
medicine.disease
Clothing
Engineering (General). Civil engineering (General)
Spinal column
0104 chemical sciences
Computer Science Applications
Chemistry
Face (geometry)
3D virtual process
Artificial intelligence
TA1-2040
business
computer
Zdroj: Applied Sciences, Vol 11, Iss 4545, p 4545 (2021)
Applied Sciences
Volume 11
Issue 10
ISSN: 2076-3417
Popis: Peoples with spinal disability face a huge problem in the design and development of ergonomically fitted and comfortable clothing. Various research studies on the design and developments of functional clothing for scoliosis patients consider their morphological shapes. However, developing appropriate models of the complicated and deformed anatomical shape of the patient in 3D digitization technologies makes it possible to design a comfortable and fitted garment. The current paper proposes a method for developing a fully parametric 3D adaptive model of the thorax of a patient suffering from scoliosis. The model is designed from the spine and follows the deformation of the spine to adapt the thorax skeleton according to the temporal evolution of the spinal column deformation. The integration of the model of the thorax, adjusted to the patient’s data, enables the chain of acquisition, processing, and global model to be validated. The fit of the model could be improved for the different bones and it is possible to modify the angles of the spine to see the evolution of the disease. The developed model greatly helps to further detect anthropometric points from certain bone parts of the skeleton to design a basic bodice adapted to the patient’s evolving morphology.
Databáze: OpenAIRE