Textile sensors transform our everyday clothing into a means to track movement and biosignals in a completely unobtrusive way. One major hindrance to the adoption of “smart” clothing is the difficulty encountered with connections and space when scaling up the number of sensors. There is a lack of research addressing a key limitation in wearable electronics: Connections between rigid and textile elements are often unreliable, and they require interfacing sensors in a way incompatible with textile mass production methods. We introduce a prototype garment, compact readout circuit, and algorithm to measure localized strain along multiple regions of a fiber. We use a helical auxetic yarn sensor with tunable sensitivity along its length to selectively respond to strain signals. We demonstrate distributed sensing in clothing, monitoring arm joint angles from a single continuous fiber. Compared to optical motion capture, we achieve around five degrees error in reconstructing shoulder, elbow, and wrist joint angles.

中文翻译：

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智能服装沿纤维分布式传感

纺织品传感器将我们的日常服装转变为一种以完全不引人注目的方式跟踪运动和生物信号的手段。采用“智能”服装的一大障碍是在扩大传感器数量时遇到的连接和空间困难。目前缺乏解决可穿戴电子产品的一个关键限制的研究：刚性元件和纺织元件之间的连接通常不可靠，并且它们需要以与纺织大规模生产方法不兼容的方式连接传感器。我们介绍了原型服装、紧凑的读出电路和算法来测量沿纤维多个区域的局部应变。我们使用螺旋拉胀纱线传感器，其灵敏度沿其长度可调，有选择地响应应变信号。我们演示了服装中的分布式传感，通过单个连续纤维监测手臂关节角度。与光学运动捕捉相比，我们在重建肩部、肘部和腕部关节角度时实现了大约五度的误差。