비전 기반 스트레인 센서와 다축 스트레인 매핑을 이용한 신체 동작 모니터링

Abstract

Nanotechnology-based soft strains sensors can play a major role in monitoring body motions for rehabilitative purposes. However, low reproducibility of the technology due to the complex fabrication methods, short lifetime, and vulnerability to physical environment remain as challenges. Here, we solved the aforementioned problem by developing a new class of wearable strain sensor system so called computer vision-based optical strain (CVOS) sensor system with real-time multiaxial strain mapping. The CVOS system is based on the streamlined-easily fabricated soft silicone substrate, which acted as sensing marker, and a tiny camera, as a highly sensitive motion detector. Real-time multiaxial strain mapping allows for measuring and distinguishing complex multi-directional strain patterns, providing the proposed CVOS sensor with higher scalability. Our findings clearly suggest that integrating vision and soft sensor tech is a promising approach that enables highly sensitive body motion sensor with long-term operability for real-world applications.