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Use of Activity Tracking Statistics to Track a Person's Movements

IP.com Disclosure Number: IPCOM000247475D
Publication Date: 2016-Sep-09
Document File: 2 page(s) / 122K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system to better detect potential violence and security threats in a crowd using Internet of Things (IoT) devices for real time, localized behavioral monitoring.

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Use of Activity Tracking Statistics to Track a Person 's Movements

Large public events (e.g. sporting events, concerts, festivals, etc.) or public areas (e.g., schools, malls, parks, etc.) have the potential for violence to rapidly escalate and affect many lives. The security measures around these events are usually reactionary. Some of the current security measures include, police patrols, lookout posts, and citizens reports. These measures all depend on a person witnessing the act of violence, communicating it to the authorities, and then authorities reacting.

A method is needed to proactively detect an eruption of violence in a crowd.

The novel solution is a system to better detect violence and potential threats in a crowd using Internet of Things (IoT) devices for real time, localized behavioral monitoring.

The system performs a real-time analysis of user geographic (i.e., location) and biometric (e.g., heart rate, blood pressure, etc.) data collected through wearable health monitoring devices. The system monitors event attendees that are equipped with wearable devices, to detect changes in biometric data that indicate an escalation in mood intensity, anxiety, anger, etc. and/or a rapid location change. When the system detects the potential for negative or potentially dangerous behaviors, it automatically alerts the appropriate authorities (e.g., police, security, firefighters, emergency response, etc.) to facilitate a faster response time.

Scenario 1: (Figu...