GeoMCU: Adaptable and Resilient Low-Noise Sensing Platform for Structural Vibrations

作者：Jesse Codling, Yiwen Dong, Carlos Ruiz, Amelie Bonde, Shijia Pan, Hae Young Noh, Pei Zhang · 年份：2025 · DOI：10.31224/5351 · 被引用次数：2 · 研究领域：Indoor and Outdoor Localization Technologies、Structural Health Monitoring Techniques、Gait Recognition and Analysis

Accurate and scalable structural vibration sensing is an essential tool for a wide range of applications including human and animal health and safety. We present GeoMCU, an open-source, low-noise, sensing platform based around geophones, designed for adaptability and resilience in diverse, real-world environments. GeoMCU builds on an iterative, experience-driven development process to yield an adaptable sensor platform which reduces electrical noise interference, allows flexible sensor deployment, and supports high precision and time synchronization where required. Evaluation of the platform shows a 4× reduction in electrical noise and over a 10× increase in mean time between failures compared to prior solutions. Through multiple field deployments—ranging from livestock health monitoring to human heart rate detection and stadium crowd behavior analysis—GeoMCU has demonstrated significant advantages in scalability, adaptability, and reliability which present a promising solution for ubiquitous sensing in scientific, industrial, and residential environments.