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.Dynamic Augmented Reality Social Graph Disclosure Number: IPCOM000250447D
Publication Date: 2017-Jul-17
Document File: 3 page(s) / 347K

Publishing Venue

The Prior Art Database


Disclosed is a system that works with existing augmented reality (AR) devices to generate a dynamic social graph view and provide more information to the user.

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Dynamic Augmented Reality Social Graph

Many Augmented Reality (AR) vendors are driving changes in user behavior by, for example, presenting contact information, combining reality with games, and overlaying map information with reality. AR's combination of live views with digital flags and markers enables the presentation of useful and actionable information. Encounters between people provide a wealth of data as well as opportunities to engage a new person, client, or contact. Gatherings, whether social or professional, provide a wealth of untapped possibilities for AR (e.g., learn who, what, when, where, etc.).

A system is needed to enhance the social graph/presentation in AR.

The novel contribution is a system that augments augmented reality with a dynamic social graph view, by:

 Detecting a first view captured through an augmented reality device  Analyzing the view for users and objects  Establishing a link between the users in the view (direct/indirect)  Detecting a second view captured through an augmented reality device  Building a unique social graph

Figure 1: Social gathering with information: User B - Since 1990, married to User A

User A

User B

User C

The steps for implementing the system in a preferred embodiment (based on Figure 1) include:

1. User A attends a meeting with her A/R Device (e.g., Google Glasses*) 2. The A/R Device captures the view, which is triggered by one of the following:

A. Continuous capture of the view B. Button press C. Haptic feedback D. Gesture E. Audio and visual capture (e.g., "Activate System")

3. The A/R device captures the view as an image (e.g., .png, .gif., .jpg) 4. The system analyzes the view for users and objects, by:

A. Computer vision libraries (OpenCV) i. to recognize facial fe...