Personal Situational Awareness APP

Mobile information consumption is evolving alongside mobile computing technology. Mobile media monitoring however, and automated intelligent event alerting services have yet to be developed. We propose to research, design, and prototype a mobile application to extract and disseminate events from raw audio feeds based on users' interests and priorities. The solution will leverage an array of existing technologies to prototype a Google Android-based personal situational awareness client leveraging a cloud-based event dissemination system. To this end, we will pursue three technical objectives: the ability to ingest and manage audio data threads from disparate sources, and to extract information from the data streams and generate structured events that can be used by other processes; design and prototype a Droid-based user interface for situational awareness rendering and priorities and interest configuration; assess the capabilities and limitations of the prototype solution and document for future design optimization activities.