Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems

TL;DR

This paper introduces a proximity-based wearable computing testbed utilizing UWB sensors and edge nodes to enhance community interactions through precise location tracking and robust wearable system design.

Contribution

The paper presents a novel wearable computing testbed integrating UWB sensors, motion sensors, and edge computing for improved community-oriented applications.

Findings

High precision in location and distance measurements achieved.

System demonstrates robustness and versatility in community settings.

Potential to significantly enhance community engagement and connectivity.

Abstract

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.