Textile sensors transform our everyday clothing into a means to track
movement and bio-signals 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 fibre. We employ 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 fibre. Compared to optical
motion capture, we achieve around 5{\deg} error in reconstructing shoulder,
elbow, and wrist joint angles.

利用纺织传感器跟踪运动和生物信号，解决可穿戴电子设备中刚性与纺织元件连接不可靠且与纺织大规模生产方式不兼容的问题，介绍了原型服装、紧凑读出电路和算法以测量纤维多个区域的局部应变，并使用可调敏感性的螺旋辅助纤维传感器对应变信号进行选择性响应，演示了在服装中的分布式传感和从单个连续纤维监测手臂关节角度，其对肩、肘和腕关节角度的重建误差率约为 5 度。