2,720 research outputs found

    Making textile sensors from scratch

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    This workshop will explore the use of low-cost materials and tools to build textile-based interfaces. We will introduce a range of methods for handcrafting textile sensors and circuitry. Participants will learn techniques developed by the workshop leaders and will also be encouraged to use our material library to design their own custom sensors. The goal of the workshop is to familiarize participants with available electronic textile materials and introduce them to a variety of sensor and circuitry construction techniques

    Bioengineered Textiles and Nonwovens – the convergence of bio-miniaturisation and electroactive conductive polymers for assistive healthcare, portable power and design-led wearable technology

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    Today, there is an opportunity to bring together creative design activities to exploit the responsive and adaptive ‘smart’ materials that are a result of rapid development in electro, photo active polymers or OFEDs (organic thin film electronic devices), bio-responsive hydrogels, integrated into MEMS/NEMS devices and systems respectively. Some of these integrated systems are summarised in this paper, highlighting their use to create enhanced functionality in textiles, fabrics and non-woven large area thin films. By understanding the characteristics and properties of OFEDs and bio polymers and how they can be transformed into implementable physical forms, innovative products and services can be developed, with wide implications. The paper outlines some of these opportunities and applications, in particular, an ambient living platform, dealing with human centred needs, of people at work, people at home and people at play. The innovative design affords the accelerated development of intelligent materials (interactive, responsive and adaptive) for a new product & service design landscape, encompassing assistive healthcare (smart bandages and digital theranostics), ambient living, renewable energy (organic PV and solar textiles), interactive consumer products, interactive personal & beauty care (e-Scent) and a more intelligent built environment

    JENTIL: responsive clothing that promotes an ‘holistic approach to fashion as a new vehicle to treat psychological conditions’

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    This paper explores an ongoing interdisciplinary research project at the cutting edge of sensory, aroma and medical work, which seeks to change the experience of fragrance to a more intimate communication of identity, by employing emerging technologies with the ancient art of perfumery. The project illustrates .holistic' clothing called the JENTIL¼ Collection, following on from the Author’s SmartSecondSkin' PhD research, which describes a new movement in functional, emotional clothing that incorporates scent. The project investigates the emergent interface between the arts and biomedical sciences, around new emerging technologies and science platforms, and their applications in the domain of health and well-being. The JENTIL¼ Collection focuses on the development of .gentle., responsive clothing that changes with emotion, since the garments are designed for psychological end benefit to reduce stress. This is achieved by studying the mind and advancing knowledge and understanding of how known well-being fragrances embedded in holistic Fashion, could impact on mental health. This paper aims to combine applied theories about human well-being, with multisensory design, in order to create experimental strategies to improve self and social confidence for individuals suffering from depressive illnesses. The range of methodologies employed extends beyond the realm of fashion and textile techniques, to areas such as neuroscience, psychiatry, human sensory systems and affective states, and the increase in popularity of complementary therapies. In this paper the known affective potential of the sense of smell is discussed, by introducing Aroma-Chology as a tool that is worn as an emotional support system to create a personal scent bubble. around the body, with the capacity to regulate mood, physiological and psychological state and improve self-confidence in social situations. The clothing formulates a healing platform around the wearer, by creating novel olfactory experiences in textiles that are not as passive as current microencapsulated capsule systems generally are

    Evaluation of existing resources (study/analysis)

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    Within TACCLE 3 – Coding European Union Erasmus+ KA2 Programme project, a review and evaluation of a set of resources that can contribute to teaching programming to younger children has made. This document represents the TACCLE 3 O4 deliverable entitled “Evaluation of existing resources (study/analysis)”

    Technologies Involved in the Manufacture of Smart Nonwoven Fabrics

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    Many methods can be used to protect humans against hazardous chemicals in the environment such as personal protective equipment and protective clothing. However, what matters most is prevention and early detection of threats. Detecting the presence of hazardous chemicals such as organic liquids and the vapours they give off is possible using sensors. Effective chemosensory properties are revealed by conductive polymers and carbon particles, where the electrical resistance of chemicals changes. Still open to debate is finding the optimum means of applying chemical sensors that would provide high sensitivity, durability, reliability, and resistance but at the same time would not be expensive. The authors propose introducing chemical sensors in the form of nonwoven fabrics produced by the melt-blown method and by electrospinning. The analysis takes account of melt-blown nonwoven fabric ​​based on polylactide (PLA)-containing carbon nanotubes, nonwoven fabric made by electrospinning based on polyethylene oxide–containing carbon nanotubes and carbon nonwoven fabric from polyacrylonitrile submicron precursor fibres formed by electrospinning. Assessment of the effectiveness of the sensors to liquid vapours including methanol, acetone, benzene and toluene (concentration 200 ppm) has been carried out. The resulting nonwoven sensors are characterized by good electrical conductivity and altered electrical resistance as a result of the presence of vapours

    Integrated platform for real-time control and production and productivity monitoring and analysis

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    In this paper is proposed the IndustSystems, which is an integrated platform that aims at controlling and monitoring of production and evaluation of productivity in real time, via web access, using hybrid and scheduling algorithms that allow management and optimized use of production resources and perfect synchronization of production flows.This work was supported by FCT “Fundação para a CiĂȘncia e a Tecnologia” under the program: PEst20152020.info:eu-repo/semantics/publishedVersio

    Simpler learning of robotic manipulation of clothing by utilizing DIY smart textile technology

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    Deformable objects such as ropes, wires, and clothing are omnipresent in society and industry but are little researched in robotics research. This is due to the infinite amount of possible state configurations caused by the deformations of the deformable object. Engineered approaches try to cope with this by implementing highly complex operations in order to estimate the state of the deformable object. This complexity can be circumvented by utilizing learning-based approaches, such as reinforcement learning, which can deal with the intrinsic high-dimensional state space of deformable objects. However, the reward function in reinforcement learning needs to measure the state configuration of the highly deformable object. Vision-based reward functions are difficult to implement, given the high dimensionality of the state and complex dynamic behavior. In this work, we propose the consideration of concepts beyond vision and incorporate other modalities which can be extracted from deformable objects. By integrating tactile sensor cells into a textile piece, proprioceptive capabilities are gained that are valuable as they provide a reward function to a reinforcement learning agent. We demonstrate on a low-cost dual robotic arm setup that a physical agent can learn on a single CPU core to fold a rectangular patch of textile in the real world based on a learned reward function from tactile information
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