Cows, buses, people: Context awareness sensing from positioning sensors for improved safety, efficiency and performance

O. Ogundipe, Yang Gao, Elizabeth Homer
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Abstract

The ability to determine a user's content is important to developing applications which can adapt to the user's need and requirements both in the short term and long term. With the increasing availability of low cost wireless sensors, it is possible to capture a range of observations which can be used for context determination. This also means that the user being monitored is not limited to human subjects alone. This paper will highlight work from three different applications which utilize context awareness sensing. The first project deals with the monitoring of cows for milk production and welfare using UltraWide Band (UWB) technology and inertia sensors. The second investigates indoor positioning for the blind and partially sighted using smart phone sensors. The third looks at monitoring public transport demand and traffic capacity based on GPS and door event sensors on London buses. The tests show some of the strengths and limitations of the sensors and the need for data pre-processing. Using the UWB sensors the mounting activity related to estrus could be detected and the activity or context of the cow determined appropriately. It showed the benefits of context awareness sensing in these different applications.
奶牛、公共汽车、人:通过定位传感器感知环境,提高安全性、效率和性能
确定用户内容的能力对于开发能够适应用户短期和长期需求的应用程序非常重要。随着低成本无线传感器的日益普及,有可能捕获一系列可用于环境确定的观察结果。这也意味着被监控的用户不仅限于人类受试者。本文将重点介绍利用上下文感知的三种不同应用的工作。第一个项目涉及使用超宽带(UWB)技术和惯性传感器监测奶牛的产奶量和福利。第二项研究是利用智能手机传感器为盲人和弱视者进行室内定位。第三项研究着眼于基于伦敦公交车上的GPS和门事件传感器监测公共交通需求和交通容量。测试显示了传感器的一些优点和局限性以及数据预处理的必要性。使用超宽带传感器可以检测与发情相关的骑乘活动,并适当地确定奶牛的活动或环境。它展示了上下文感知在这些不同应用程序中的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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