In the rapidly evolving digital technology landscape, community-oriented wearable computing systems are emerging as a key tool for enhancing connectivity and interaction within communal spaces. This paper contributes to this burgeoning field by presenting the development and implementation of a proximity-based wearable computing testbed designed to forge stronger links within communities. The testbed exploits Ultra-Wideband (UWB) position sensors, 9-axis motion sensors, edge nodes, and a centralized server, forming a cohesive network that actively facilitates community interactions and engagements. By employing anchors and targets within the UWB sensors, the system achieves high precision in location and distance measurements, laying the groundwork for various proximity-based applications. Integrating 9-axis motion sensors and advanced edge nodes further underscores the system's versatility and robustness in wearable and edge computing. This paper delves into an in-depth exploration and evaluation of the proposed system's architecture, design, and implementation processes. It provides a comprehensive analysis of experimental results and discusses the system's potential impact on enhancing community networks, along with the future directions this technology could take.

翻译：在快速发展的数字技术领域，面向社区的穿戴式计算系统正逐渐成为增强社区空间内连接性与交互性的关键工具。本文通过提出并实现一个旨在强化社区内部联系的、基于邻近感知的穿戴式计算测试平台，为这一新兴领域做出贡献。该测试平台利用超宽带（UWB）定位传感器、九轴运动传感器、边缘节点以及中央服务器，构建了一个能够积极促进社区互动与参与的一体化网络。通过在UWB传感器中部署锚点与目标节点，系统实现了高精度的位置与距离测量，为各类基于邻近感知的应用奠定了基础。集成九轴运动传感器与先进的边缘节点进一步凸显了系统在穿戴式与边缘计算领域的多功能性与鲁棒性。本文深入探讨并评估了所提出系统的架构、设计及实现过程，全面分析了实验结果，并讨论了该系统在增强社区网络方面的潜在影响以及该技术未来的发展方向。