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Publication Type : Conference Paper
Publisher : Springer
Source : Lecture Notes in Networks and Systems, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-16-5640-8_36
Campus : Amritapuri
School : School of Computing
Year : 2022
Abstract : Current COVID pandemic situation has created an urgency in development of an intelligent mobile application to handle emergencies in most appropriate and efficient manner. We have created a life-saving system with contextual information gathering module, which provides needful services dynamically with limited details, i.e., click of a button. With installation of application and registration, basic details of user are stored in cloud storage. Application is designed to handle both COVID and normal emergencies. With invocation, contextual details like user’s location, nature of illness, type of service to be provided, hospital details, and ambulance details are realized by appropriate modules. By considering the nature of illness, department and respective hospital in the near proximity are realized. It tracks nearest ambulance service with necessary facilities to handle emergency situation, directs them to user’s location, thereby identifying the hospital. Simulated android application is created with firebase cloud storage, JSON, GPS, GSM, and Google Maps. It provides critical needs with appropriate facilities in shorter periods, a more prevalent service to handle COVID in a graceful manner. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Cite this Research Publication : Subbulakshmi, S., Narayanan, H.V., Adarsh, R.N., Faizi, F., Arun, A.K. (2022). COVID Emergency Handlers to Invoke Needful Services Dynamically with Contextual Data. In: Ranganathan, G., Bestak, R., Palanisamy, R., Rocha, Á. (eds) Pervasive Computing and Social Networking. Lecture Notes in Networks and Systems, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-16-5640-8_36