Map generation to detect heat stroke by using participatory sensing data

Abstract

Heat stroke can be detected and predicted by using the meteorological data but due to the climate change that occurs due to the various reasons, climate cannot be predicted easily nowadays. An alternative method to detect heat stroke is realized by using participatory sensing method. Participatory sensing is a method or an approach to extract any kind of data from the communities which can be used for beneficial purpose. In this study, we used smartphones of the pedestrians to collect information such as humidity and air temperature. The data is collected by using the internal environmental sensors of the smartphone itself. Then, this data is used to detect heat stroke in real-time and the map to detect the risk of heatstroke is generated to show where the heat stroke could possibly occur in a specific location according to the location of the pedestrian. In this study, there is no need to install many outdoor sensors in order to monitor the environment but instead, we can use moving sensors which are in this study, would be the smartphones of the pedestrians.