| Abstract |
| This study adopts an exploratory approach to hand rehabilitation by designing embroidered strain sensors with single- and double-layered structures. The objective is to identify suitable structural design parameters for finger motion sensing by analyzing variations in contact area and sensing performance across different sensor configurations. In the first experiment, sensors with varying stitch densities and layer structures were positioned on a 3D-printed joint model and subjected to elongation-relaxation cycles at a frequency of 1 Hz. The peak-to-peak voltage (mVp-p) of the generated signals was measured and analyzed using morphological assessment and non-parametric statistical testing. Based on these findings, the second experiment focused on double-layered sensors, developing four glove-type sensors with different stitch densities and numbers of contact points. Participants performed thumb and index finger flexion-extension tasks, and signal stability and quality were evaluated using waveform analysis and quantitative indicators.
Results from the first experiment indicated that double-layered, high-density sensors produced statistically higher signal magnitudes compared to single-layered, low-density structures. Similarly, the second experiment demonstrated that the double-layered, high-density configuration yielded relatively higher signal quality. These findings suggest that sensor structure influences signal strength and that embroidery-related structural factors affect signal quality under practical conditions. Overall, this exploratory study provides foundational insights into the structural design of embroidered sensors and supports the future development of wearable technologies for hand rehabilitation. |
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| Key Words |
| Sensor Structure, Embroidered Strain Sensor, Contact Area-Based Strain Sensor, Joint Motion Sensor, Wearable Sensor, 센서 구조, 자수 방식 스트레인 센서, 접촉 면적 기반 스트레인 센서, 관절 동작 센서, 웨어러블 센서 |
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