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Body segment position reconstruction and posture classification by smart textiles

机译:智能纺织品的身体部位位置重建和姿势分类

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Textile-based transducers are an innovative category of devices that use conductive fibres meshed with elastic textile fabrics. Within this paper, a new class of strain sensors, which represents an excellent trade-off between figures of merit in mechano-electrical transduction and possibility of integration in textiles, is presented. Electrically conductive elastomer composites show piezo-resistive properties when a deformation is applied. Conductive elastomer can be applied to fabric or to other flexible substrate and they can be employed as strain sensors. We integrated conductive elastomer sensors into fabrics to realize wearable kinaesthetic garments able to detect posture and movement of a user. This paper deals with the design, the development and realization of a set of sensing garments, from the characterization of innovative textile-based sensors to the methodologies employed to gather information on the posture and movement from the entire garments. Data deriving from the prototypes are analysed and compared with those deriving from a traditional movement tracking system. The realized kinaesthetic garments have shown very promising performance in terms of body segment position reconstruction and posture classification.
机译:基于纺织品的换能器是一种创新的设备类别,它使用与弹性纺织品啮合的导电纤维。在本文中,提出了一种新型的应变传感器,它代表了机电转换的品质因数与纺织品集成可能性之间的极佳折衷。当施加变形时,导电弹性体复合材料显示出压阻特性。导电弹性体可以应用于织物或其他柔性基材,并且可以用作应变传感器。我们将导电弹性体传感器集成到织物中,以实现可检测用户姿势和运动的可穿戴式运动服装。本文探讨了一套传感服装的设计,开发和实现,从基于纺织品的创新传感器的表征到用于从整个服装收集有关姿势和运动信息的方法。分析了来自原型的数据,并将其与来自传统运动跟踪系统的数据进行了比较。在身体部位的位置重建和姿势分类方面,已实现的运动美容服装表现出非常有前途的性能。

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