智能手机环境温度传感器的上下文敏感性

Rahul Majethia, Varun Mishra, P. Pathak, Divya Lohani, D. Acharya, Seema Sehrawat
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引用次数: 9

摘要

过去,使用外部和智能手机接口的无线传感器进行环境监测已经得到了广泛的应用。当我们在现成的智能手机上使用车载传感器来估计环境感知参数(如环境温度、湿度和大气压力)时,障碍就开始出现了。在这项工作中,我们评估了机载环境温度传感器在各种情况下的灵敏度和准确性,并测量了其与标准化天气监测设备的性能。此外,我们还确定了影响温度数据的几个内部和外部因素的作用。这种调查的动机是对无处不在的温度传感的需求,以驱动智能暖通空调环境和天气众包。我们的实验表明,虽然车载温度传感器具有很大的潜力,但将其用于大规模数据收集仍然需要大量的工作。
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Contextual sensitivity of the ambient temperature sensor in Smartphones
Environmental monitoring using external and Smartphone-interfaced wireless sensors has been widely used in the past. The roadblocks start emerging when we use on-board sensors in off-the-shelf Smartphones to estimate context aware environmental parameters like ambient temperature, humidity and atmospheric pressure. In this work, we evaluate the sensitivity and accuracy of the on-board ambient temperature sensor under various circumstances and measure its performance against standardized weather monitoring equipment. Additionally, we identify the roles of several internal and external factors that affect the temperature data. Such an investigation is motivated by the need of pervasive temperature sensing to power Smart HVAC environments and for weather crowdsourcing. Our experiments reveal that while the on-board temperature sensors have great potential, using them for large scale data collection still requires significant work.
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