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System and Methods for Threat Notification Personalization Disclosure Number: IPCOM000247986D
Publication Date: 2016-Oct-14
Document File: 7 page(s) / 128K

Publishing Venue

The Prior Art Database


Disclosed is a system that collects news and relevant information from different sources, identifies threats, calculates the threats’ severity, and alerts system subscribers near the threat location in accordance with user affectation due to personal characteristics (e.g., medical conditions, age, gender, etc.) and location.

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System and Methods for Threat Notification Personalization

People are exposed to different kinds of threats or dangerous situations . Depending on personal characteristics (e.g., age, culture, medical conditions, etc.), some are more vulnerable to certain situations than other situations; people have different prevention necessities depending of the type and severity of and distance from a threat or emergency .

Exiting systems and prior art are able to warn users for being in a dangerous zone, and messages are broadcasted to all subscribers in a population; however, these notifications are not personalized according to an individual's possible affectation and location.

The novel contribution is a selective emergency alerting system that determines the severity of a public threat based on news broadcasts and then creates personalized alerts according to subscriber affectation (e.g., medical conditions, age, gender location, etc.) and threat characteristics (e.g., type, severity, distance).

The selective emergency alerting system processes and analyzes local news, police communications, fire department communications, and weather data. It then issues alerts to the system's subscribers and associated social media for all emergencies near the subscribers' Global Positioning System (GPS) coordinates based on:

Thread type and severity, which is the identified type of thread and the impact in the sources (e.g., sentiment, number of posts)

Threat location versus system subscribers location, which reflects the possibility of the subscribers being affected by a type of threat given the distance

Users' characteristics (e.g., medical conditions, age, gender, location)

The core components of the selective alerting system are:

Database of subscribers Records of subscribers' current GPS locations Processing means to identify threats locations from news and emergency reports Processing means to identify a threat's severity level
Means to identify risk for the subscribers given the associated distance from the identified threat and defined personal

Means for alerting subscribers with personalized notifications


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This method uses news agency data, police, fire department, and various missing persons alerts to analyze incidents around a subscriber and/or the person of a subscriber's interest (e.g., child, elderly relative, etc.) After analyzing the data and identifying the GPS coordinates, the system compares the information to the subscribers' GPS locations and, based on personal and health related data from the subscriber, sends immediate alerts to parties that might be impacted by an incident.

The system also warns people who are going to be partially affected by a threat. People are advised about a fire in a chemicals industry at different distances (e.g., 10 KM, 20 KM, 30 KM, etc.) in order to take the correspo...