scholarly journals Analysis of EMG Electrode Locations Using 3D Body Scanning for Digital Pattern Construction of a Smart EMG Suit

2021 ◽  
Vol 13 (5) ◽  
pp. 2654
Author(s):  
Sojung Lee ◽  
Siyeon Kim ◽  
Daeyoung Lim ◽  
Dong-Eun Kim ◽  
Wonyoung Jeong

According to recent trends, smart clothing products that can receive electromyography (EMG) signals during the wearer’s muscle activity are being developed and commercialized. On the other hand, there is a lack of knowledge on the way to specify the electrode locations on the clothing pattern. Accurately located EMG electrodes in the clothing support the reliability and usefulness of the products. Moreover, a systematic process to construct anatomically validated smart clothing digitally should be performed to facilitate the application of a mass-customized manufacturing system. The current study explored the EMG measurement locations of nine muscles and analyzed them in association with various anthropometric points and even postures based on the 3D body scan data. The results suggest that several line segments of the patterns can be substituted by size-dependent equations for the electrodes in place. As a final step, a customized pattern of a smart EMG suit was developed virtually. The current study proposes a methodology to develop body-size dependent equations and patterns of a smart EMG suit with well-located electrodes using 3D scan data. These results suggest ways to produce smart EMG suits in response to impending automation and mass customization of the clothing manufacturing system.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seolyoung Oh ◽  
Dongae Suh

PurposeThis paper presents a method to fabricate a fitting-mannequin using 3D-scanning, modeling and printing technologies.Design/methodology/approachScan data were obtained from 12 subjects with body size in the average range, selected from 208 women aged 20–29. The 3D-scan data were modified by selecting cross-sections from the cloud data, symmetrizing body shapes and obtaining mean points of body shapes. Fifteen spline curves, generated by connecting the mean points on the X–Y plane, were used as sketches and loft features to create the 3D mannequin models. A lower-body fitting mannequin was printed with polylactic acid plastic using a fused deposition-modeling 3D printer.FindingsThe cross-section circumference discrepancies among the 3D-printed mannequins in each step were within 1%, demonstrating the applicability and reliability of the 3D technologies proposed for mass customization.Originality/valueThe proposed methodology demonstrates the value of using 3D-scanning data to manufacture fitting-mannequins via mass customization. The study demonstrates the possibility and practicality of using 3D techniques to produce commercially viable fitting mannequins for the fashion industry.


Author(s):  
Emmanuel T. Kodzi Jr. ◽  
Rado Gazo

This chapter explores the relationship between the capabilities of a manufacturing system and the participation of end-users in order determination. Using a simulated customer-direct mode for the customization of selected wood products, the authors examine manufacturing system attributes that enhance direct interaction with customers. The authors discuss strategic implications of the choice of customization-mode on fundamental resource requirements, and set out practical recommendations for deploying mass customization as a competitive strategy. End-user participation in configuring customized products requires that beyond desirable attributes such as agility in manufacturing systems, compelling service capability be developed to enhance customer experience.


2007 ◽  
Vol 10-12 ◽  
pp. 39-44 ◽  
Author(s):  
Sheng Feng Qin ◽  
Emmanouil Lagoudakis ◽  
Qing Ping Kang ◽  
Kai Cheng

This paper presents a customer-centric strategy for e-manufacturing in apparel industry. This strategy integrates 3D body scanning and 3D visualising techniques to allow automatic pattern alterations, based not only on human body measurements, but also on the fabrics’ dynamic properties and features. The 3D virtual try-on integration will actually present the exact idolised avatar of the customer virtually dressed. Scan data and patterns will be automatically transferred through ERP web-enabled interfaces direct to the enterprise’s manufacturing operations and facilities, and will be stored separately for each customer in order to create its ID profile which will be applicable for future purchases or reorders.


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