A Survey of Human-Sensing Methods for Detecting Presence and Identity
Keywords:
Twitter, Social sensing, Social media mining, Event detection, Crisis informatics, Emergency managementAbstract
The appearance of online social Networks (OSNs) matched with the universal multiplication of cell phones have empowered social sensing frameworks. Over the most recent couple of years, the inclination of humans to immediately gather and auspicious offer setting data has been misused for emergency detection and crisis management. Aside from event-particular highlights, these frameworks share specialized methodologies and structural answers for address the issues with catching, separating and extricating important data from data presented on OSNs by systems of human sensors. This paper proposes a reasonable and building structure for the outline of emergency detection frameworks in light of the "human as a sensor" (HaaS) worldview. A metaphysics for the HaaS worldview with regards to emergency detection is characterized. At that point, a measured engineering, autonomous of a particular emergency compose, is planned. The proposed engineering is shown by an actualized application for identifying seismic tremors by means of Twitter. Approval and test comes about in light of messages posted amid seismic tremors happened in Italy are accounted for.
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