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A paper-based self-inductive folding displacement sensor for human respiration and motion signals measurement
- Source :
- npj Flexible Electronics, Vol 6, Iss 1, Pp 1-11 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Abstract Flexible sensors have recently attracted much attention for potential applications in motion measurement and wearable health monitoring. In this paper, an environment-friendly, economic, and high-performance paper-based self-inductive folding displacement sensor (PSIFS) was proposed, with displacement resolution of 20 μm and wide measurement range of 43.2 mm. The sensor sensitivity could reach 4.44% mm−1 with the maximum deviation of 0.00904 in experiments. The sensing mechanism based on inductance variation due to three-dimensional deformation of planar inductor coil and structural design principle under two dimensions of sensitivity and size were proposed and studied. The folding method to enhance sensitivity was proposed and 3 times sensitivity enhancement could be achieved by once folding. Multiple breathing states and motion states of the human joints could be recognized. The proposed simple paper-based sensor, folding method to increase sensitivity, and structural design model may provide a way for the research of flexible sensors.
Details
- Language :
- English
- ISSN :
- 23974621
- Volume :
- 6
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- npj Flexible Electronics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fff83dea2e1d40bb8075fe0a3d2311b6
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41528-022-00198-0