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A Method to Detect & Prevent Distractions To A User Using Augmented Reality Disclosure Number: IPCOM000247421D
Publication Date: 2016-Sep-06
Document File: 5 page(s) / 767K

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The Prior Art Database


A method of identifying and filtering out distractions using Augmented Reality and Gesture control is described. A user can outline an area using their hand in which to remain distraction free. Distractions can then be identified in that area and blurred out to prevent the user from being distracted.

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A Method to Detect & Prevent Distractions To A User Using Augmented Reality

In daily life there are many different situations in which people need to concentrate on a task they may be doing and don't want to be distracted, mainly in the

workplace. Workplaces often have dedicated 'quiet zones' which may be a certain section of an office or a separate room; however, it is still very easy to get distracted by people interacting with one another or by simply walking past. This invention aims to tackle these problems by applying augmented reality technologies to detect and filter out potential distractions.

    Assuming AR (Augmented Reality) headsets will be more prevalent in the future, the invention centres around the idea of using AR to apply an overlay to distractions for people who want to focus on something i.e. work. Digi-Capital have predicted that the AR market will be valued at $120billion by 2020, supporting the assumption that AR headsets will become more prevalent.

    The invention identifies distractions in two main ways and then filters them out. Users can use gesture control to highlight an area that they would like to blur out. Alternatively, by applying machine learning we can detect trends in movement, identifying regular movements such as somebody walking past a window, which may

be distracting and then blurring out the surrounding area.

    The invention however, encompasses a fail-safe method, in the event of someone needing to get the user's attention e.g. in an emergency. If the headset detects somebody attempting to make eye contact with the user for longer than a predetermined set time or moving in a different manner compared to the average movement profile for that area, then we can assume they are trying to get their attention and we can remove the blurred overlay.


• The invention has two different ways of identifying distractions.

• It allows the user to identify their own distractions, should they choose to.

    It has a fail-safe mechanism to override the system in the case of certain conditions.

Identifying Users Who Don't Want To Be Distracted

   1) The AR headset will initially recognise that the user is focusing on a particular area in their field of vision. This can be achieved through eye tracking and utilizing contextual information, such as device meta data. For example, a laptop could communicate to an AR headset the dimensions of the laptop screen.

   2) Once the point of focus is identified by eye tracking technology, image recognition can then be employed to recognise key objects that they could be focusing on such as a laptop, screen or book for example.

   3) The AR headset can then conclude that the user doesn't want to be distracted and is prepared to place an overlay over any distractions.

Identifying Distractions

    As detailed above, there are then two main ways in which distractions can be identified; through the use of gesture control and through machine learning. Using gesture control allows u...