Initial Investigations into Characterizing DIY E-Textile Stretch Sensors

is paper evaluates three electronic textile (e-textile) stretch sensors commonly constructed for bespoke applications: two variations of fabric knit with a stainless steel and polyester yarn, and knit fabric coated with a conductive polymer. Two versions of the knit stainless steel and polyester yarn sensor, one hand and one machine knit, are evaluated. All of the materials used in the construction of the sensors are accessible to designers and engineers, and are commonly used in wearable technology projects, particularly for arts performance. However, the properties of each sensor have not before been formally analysed. We evaluate the sensors’ performance when being stretched and released

Tailoring Interaction. Sensing Social Signals with Textiles.

Nonverbal behaviour is an important part of conversation and can reveal much about the nature of an interaction. It includes phenomena ranging from large-scale posture shifts to small scale nods. Capturing these often spontaneous phenomena requires unobtrusive sensing techniques that do not interfere with the interaction. We propose an underexploited sensing modality for sensing nonverbal behaviours: textiles. As a material in close contact with the body, they provide ubiquitous, large surfaces that make them a suitable soft interface. Although the literature on nonverbal communication focuses on upper body movements such as gestures, observations of multi-party, seated conversations suggest that sitting postures, leg and foot movements are also systematically related to patterns of social interaction. This thesis addressees the following questions: Can the textiles surrounding us measure social engagement? Can they tell who is speaking, and who, if anyone, is listening? Furthermore, how should wearable textile sensing systems be designed and what behavioural signals could textiles reveal? To address these questions, we have designed and manufactured bespoke chairs and trousers with integrated textile pressure sensors, that are introduced here. The designs are evaluated in three user studies that produce multi-modal datasets for the exploration of fine-grained interactional signals. Two approaches to using these bespoke textile sensors are explored. First, hand crafted sensor patches in chair covers serve to distinguish speakers and listeners. Second, a pressure sensitive matrix in custom-made smart trousers is developed to detect static sitting postures, dynamic bodily movement, as well as basic conversational states. Statistical analyses, machine learning approaches, and ethnographic methods show that by moni- toring patterns of pressure change alone it is possible to not only classify postures with high accuracy, but also to identify a wide range of behaviours reliably in individuals and groups. These findings es- tablish textiles as a novel, wearable sensing system for applications in social sciences, and contribute towards a better understanding of nonverbal communication, especially the significance of posture shifts when seated. If chairs know who is speaking, if our trousers can capture our social engagement, what role can smart textiles have in the future of human interaction? How can we build new ways to map social ecologies and tailor interactions

Design and development of a wearable inductive textile sensor to monitor back movements

This thesis focuses on the design and development of a wireless and wearable platform that employs an inductive sensor to track trunk movements when the user bends forward. The inductive textile sensor was designed based on the anthropometrical dimensions of the trunk’s lumbar area of a healthy female. The chosen shape of the sensor was a rectangular flat coil. The inductance behavior was investigated using theoretical calculations and simulations. Formulas developed by Grover and Terman were used to calculate the inductance to validate the inductive textile design. The simulations were used to analyze the change of the inductance when the area, perimeter, height, and width of the rectangle was modified, as well as the effect of the number of turns of the rectangular flat coil. Results from the theoretical calculations and simulations were compared. The inductive textile sensor was integrated at the lumbar section of a sleeveless garment to create a smart wearable platform. The performance of the smart garment was evaluated experimentally on a healthy participant, and it was shown that the designed sensor can detect forward bending movements. The evaluation scenario was further extended to also include twisting and lateral bending of the trunk, and it was observed that the proposed design can successfully discriminate such movements from forward bending of the trunk. An interference test showed that, although moving a cellphone towards the unworn prototype affected the sensor readings, manipulating the cellphone when wearing the prototype, did not compromise the capability of the sensor to detect forward bends. The proposed platform is a promising step towards developing wearable systems to monitor back posture to prevent or treat low back pain associated with poor posture

ICS Materials. Towards a re-Interpretation of material qualities through interactive, connected, and smart materials.

The domain of materials for design is changing under the influence of an increased technological advancement, miniaturization and democratization. Materials are becoming connected, augmented, computational, interactive, active, responsive, and dynamic. These are ICS Materials, an acronym that stands for Interactive, Connected and Smart. While labs around the world are experimenting with these new materials, there is the need to reflect on their potentials and impact on design. This paper is a first step in this direction: to interpret and describe the qualities of ICS materials, considering their experiential pattern, their expressive sensorial dimension, and their aesthetic of interaction. Through case studies, we analyse and classify these emerging ICS Materials and identified common characteristics, and challenges, e.g. the ability to change over time or their programmability by the designers and users. On that basis, we argue there is the need to reframe and redesign existing models to describe ICS materials, making their qualities emerge

Seamless knitted sports bra design: A responsive system design exploration

ABSTRACT The transition of sports bras’ uses, from an active lifestyle to resting activities, requires dynamic and adaptable comfort properties of the design, as well as adequate breast support, fit, and comfort. Thus, the two-fold purpose of this study was to: (a) analyze the use of current materials and processes in the product development process of seamless sports bras, via industry interview and observation, and (b) propose a design solution for a seamless sports bra that offers variable breast support during running versus resting activities. Using a case study approach, an in-depth interview with a Santoni seamless knitting technician provided data that led to mapping out the design and product development processes used for prototyping seamless sports bras. A seamless business model for a sports bra was created, and relationships among the over-arching themes of planning, marketing, product development, innovation, and production, which emerged from the grounded theory analysis, were discussed. Moreover, a detailed Product Development framework and a Tech Pack model were created and used to communicate the new design for a responsive seamless sports bra. Interactions between design, prototyping and functionality and how these themes relate to the components of the tech pack were discussed. At the materials level, a biomimetic system framework was used to identify solutions to responsive interactions within wool/Nylon/spandex blended yarns and various knitting structures when actuated by moisture. Twenty pattern designs were knitted on a Santoni circular knitting machine, using two different yarn combinations: (a) wool/spandex, and (b) wool/nylon/ spandex. Physical properties of the knit swatches were documented, as well as their thickness when dry versus three different moisture activation situations: (a) immediately after wetting, (b) after 30 minutes of air-drying, and (c) after 60 minutes of air-drying. Results showed that the Santoni circular knitting technology has capabilities to create a variety of texturally knit fabric designs that have a wide range of thicknesses, densities, and moisture responsiveness properties. Selections of knit patterns were made based on the textile testing results and used to design a responsive sports bra that incorporated female sweat maps and sports bra user needs. Sustainability considerations regarding the wet processing of the new responsive design were implemented, and the bra samples were not dyed, but only cold-washed and tumble-dried at low temperature. Fifteen prototypes were developed via a Santoni circular seamless knitting machines and tested using human subjects and 3D body scanning technology. A convenience sample of fifteen semi-athlete female college students wore the new sports bra prototypes during three different moisture conditions: (a) before a run (dry), (b) after 30 minutes run on a treadmill (wet), and (c) after resting 30 minutes (starting to dry out). 3D body scans were collected in fully inhaled, as well as relaxed respiratory states after each condition. Questionnaires were used to evaluate comfort and responsiveness of the new design. The results revealed that the new responsive sports bra offers compression during the dry conditions, breathability and some level of breast support during running, and moisture management during the resting stage, all while offering high overall comfort and fabric softness. However, the length of the bra straps needs to be shortened, and the breast support during running needs improvement, therefore further design iterations are needed. The proposed integrative approach to the sports bra design offers a new framing for the systematic design process of a sports bra as a functional design garment and fills knowledge gaps within the seamless knitting process using performance wool blend yarns. The new biomimetic-inspired sports bra solution has a potential for commercial applications that can offer women a responsive, adaptable sports bra, to encourage healthier lifestyles, as well as to accommodate for the athleisure trend

Factories of the Future

Engineering; Industrial engineering; Production engineerin

ReSCon '12, Research Student Conference: Book of Abstracts

The fifth SED Research Student Conference (ReSCon2012) was hosted over three days, 18-20 June 2012, in the Hamilton Centre at Brunel University. The conference consisted of 130 oral and 70 poster presentations, based on the high quality and diverse research being conducted within the School of Engineering and Design by postgraduate research students. The conference is held annually, and ReSCon plays a key role in contributing to research and innovations within the School

Factories of the Future

Engineering; Industrial engineering; Production engineerin

How Heat Affects Human Hair: Thermal Characterization and Predictive Modeling of Flat Ironing Effects

Many people with curly hair experience heat damage – loss of curls and structural degradation of hair – after repetitive use of flat irons. While an array of relevant studies provide insight into thermochemical processes behind the phenomenon, practical tools for flat iron users are unavailable. As a result, people shun heat for fear of unpredictable amount of heat damage while adopting other laborious methods to satisfy a persevering need for temporary hair straightening. Thus three overarching research projects emerge to address the problem. In Part 1, I develop an empirical approach to mathematically correlate four flat ironing parameters (a temperature setting, gliding speed, the number of passes, and exposure time) with three metrics of flat ironing results (reduction in fatigue strength, straightening efficacy, and permanent curl loss). The objective is to establish user-friendly predictive models for flat ironing results to help users make informed decisions. Hair samples are exposed to various flat ironing conditions to evaluate the impact of each parameter thereby formulating predictive models. In the subsequent study, the impact of heat protectants on the flat ironing results is exclusively investigated to provide insight into better utilizing the widely marketed products for protecting hair from heat damage. In Part 2, thermal characterization of human hair and heat transfer modeling serve as a practical tool for predicting the amount of heat damage due to flat ironing in conjunction with the previously developed predictive models. To measure thermal diffusivity of hair, I develop and validate a non-contact infrared thermography measurement technique based on the Angstrom Method. Then, these properties are integrated into a 2D heat transfer model of the thermal transport between a hair bundle and flat iron utilizing the finite difference method. Experimental validation of the model follows to complete the overarching goal of providing practical tools for decision making before flat ironing. This work provides a practical tool that assists flat iron users in making decisions regarding the use of flat irons. It also introduces novel empirical and modeling approaches for understanding the effects of flat ironing. Furthermore, it presents a novel measurement technique for thermal characterization of polymer fibers