Physical properties of novel co-woven-knitted fabrics

 Co-woven-knitted (CWK) fabrics have been reported previously. Historically these unique structures have been used to develop composite and shielding fabrics. In this study, novel CWK structures with unique appearances was developed with a modified machine using wool and polyester yarns. The physical properties of these fabrics were compared with conventional woven and knitted fabrics. The thickness of the CWK fabrics was similar to knits. The fabrics showed a unique tensile strength, with higher bending rigidity, and performed better in abrasion resistance

PRELIMINARY DEVELOPMENT OF A RECONFIGURABLE GARMENT SYSTEM FOR INTERACTIVE BIOMECHANICS

This paper presents a garment system that uses electronic textile strain sensors attached to a host garment to enable interactive biomechanical monitoring and biofeedback. A conventional compression garment modified to include strategically placed fastening markers and a corresponding e-textile strain sensor were used to monitor knee flexion and extension during AFL kicking. The output of the garment system was compared with that of a Vicon. During repeated subject kicking the garment system displayed stable operation suggesting it was suitable for use in field based skill interventions involving interactive biofeedback

INTERACTIVE BIOMECHANICS AND ELECTRONIC TEXTILES

This paper presents an overview of a wearable interactive system developed by CSIRO that uses electronic textiles to enable interactive biomechanical measurement and feedback. Textile strain sensors are used to measure limb motion with real-time data streaming and analysis that enables interactive feedback to assist with skill acquisition. The system can be used in diverse training and competition environments, as illustrated via examples in kicking, throwing and paddling

WILD MONITORING: LINKING PERFORMANCE, PHYSIOLOGY AND BIOMECHANICS LIVE

Mobile communications are enabling monitoring in the wild: the natural performance environment. This paper presents an overview of the use of the CSIRO Knowledge Experience Network (KEN). KEN Combines wearable sensors with mobile devices and other performance measures to link biomechanics with physiological parameters and performance measures. The system can be used in diverse training and competition environments, as illustrated via examples in laboratory testing, elite training and international competition

Fitting the man to the machine: The ADAPT project

The size and shape of humans have been changing dramatically over the last 100 years. People have grown taller and fatter, with relatively longer legs and higher waist–hip ratios. Aircraft, on the other hand, are often designed to last for several decades. Consequently, there is an increasing mismatch between the size and shape of crewstations and the size and shape of aircrew. This mismatch has been exacerbated by the introduction of female aircrew. This is particularly true in Australia, where the most recent anthropometric survey dates from the 1970s, and crewstations are designed based on overseas specifications. In the past, anthropometric surveys have been conducted with the traditional instruments of tape measures and calipers. The Australian Defence Anthropometric Personnel Testing (ADAPT) project is taking a different approach, using a combination of 3D whole-body scanners, laser scans of crewstations, human modelling and animation software, and mathematical optimisation, to refine anthropometric recruitment standards for the RAAF. The project will additionally improve clothing and equipment fit, human functionality in aircraft, reduce the risk of injury and provide the opportunity to open recruitment to a wider selection of applicants. The work done in the ADAPT project has applications across the ADF, and will spill over into many civilian fields.C

Archetypoids: A new approach to define representative archetypal data

[EN] The new concept archetypoids is introduced. Archetypoid analysis represents each observation in a dataset as a mixture of actual observations in the dataset, which are pure type or archetypoids. Unlike archetype analysis, archetypoids are real observations, not a mixture of observations. This is relevant when existing archetypal observations are needed, rather than fictitious ones. An algorithm is proposed to find them and some of their theoretical properties are introduced. It is also shown how they can be obtained when only dissimilarities between observations are known (features are unavailable). Archetypoid analysis is illustrated in two design problems and several examples, comparing them with the archetypes, the nearest observations to them and other unsupervised methods.The authors would like to thank Juan Domingo from the University of Valencia for providing the binary images of women’s trunks. They would also like to thank the Biomechanics Institute of Valencia for providing them with the dataset and the Spanish Ministry of Health and Consumer Affairs for having promoted and coordinated the ‘‘Anthropometric Study of the Female Population in Spain’’. The authors are also grateful to the Associate Editor and two reviewers for their very constructive suggestions, which have led to improvements in the manuscript. This work has been partially supported by Grant DPI2013-47279-C2-1-R.Vinue, G.; Epifanio, I.; Alemany Mut, MS. (2015). Archetypoids: A new approach to define representative archetypal data. Computational Statistics and Data Analysis. 87:102-115. https://doi.org/10.1016/j.csda.2015.01.018S1021158

A new solution for tendonitis

Le travail musculaire excentrique limite les risques d'apparition de tendinite chez les athlètes : test et résultat

The effect of structural parameters on air permeability of bifacial fabrics

In our recent study, a bifacial fabric with a knitted structure on one side and a woven structure on the other side of the fabric was designed and manufactured for apparel applications. The physical properties of the bifacial fabrics were previously reported. In this study, bifacial fabrics with two different weft densities of 18 and 22 picks per cm in the woven structure and loop lengths of 10 and 11 mm in the knitted structure were prepared, then the air permeability of the fabrics was analyzed. The extension of the analysis of variance techniques was applied to the data. It was found that there were highly significant differences in the air permeability of bifacial fabrics with different weft densities and loop lengths, while the interaction between these two factors was not statistically significant in their effects on the air permeability. Briefly, increasing loop length increased air permeability, while air permeability decreased with an increase in weft density. This finding shows that fabric’s parameters can be manipulated to affect air permeability of the bifacial fabrics, and further to influence comfort properties of such novel fabrics