In the last few years, smart textiles with fabric-based sensors to monitor gesture, posture or respiration have become popular. Although the fabrics seem to have nice performance to some extent, the 2-Dform offabric-based sensors limits the resolution. In this paper, a yarn-based sensor is developed. The performance of the sensors relies on the structure ofthe yarns and the response while extended depends on the twists per meter (TPM) of the yarns. For verifying the feasibility, a simulation system based on respiration monitor using yarn-based sensors is reported. We find the sensors output can closely track the periodic input signals.
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