Ryan Fink

In embodiments, a user scans or acquires a physical marker, such as an optical code or radio beacon. The physical marker provides information to the user's device to allow it to connect to a server. The physical marker may also provide contextual data, possibly in conjunction with contextual data from the user's device. The server then provides a list of professionals on the basis of the contextual data.

Continuation patent. A method for adjusting or removing frames in a set of frames. The method, system, apparatus, and/or device may include: associating a first frame of a set of frames with motion data that is captured approximately contemporaneously with the first frame; when a sampling rate of the motion data is greater than a frame rate of the set of frames, aggregating a first sample of the motion data captured at the first frame and a second sample of the motion data captured between the… Show more

Continuation patent. A method for adjusting or removing frames in a set of frames. The method, system, apparatus, and/or device may include: associating a first frame of a set of frames with motion data that is captured approximately contemporaneously with the first frame; when a sampling rate of the motion data is greater than a frame rate of the set of frames, aggregating a first sample of the motion data captured at the first frame and a second sample of the motion data captured between the first frame and a second frame of the set of frames to obtain a movement value; when the movement value does not exceed a first threshold value, accepting the first frame from the set of frames; and when the movement value exceeds the first threshold value, rejecting the first frame from the set of frames.
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The present disclosure relates to the field of augmented reality (AR), and specifically to augmenting captured 3-D point data associated with a specific image or view with related subsequently captured data.

A method for creating and storing a captured image and associated spatial data and augmented reality (AR) data in a file that allows subsequent manipulation and processing of AR objects is disclosed. In embodiments, one or more frames are extracted from a video stream, along with spatial information about the camera capturing the video stream. The one or more frames are analyzed in conjunction with the spatial information to calculate a point cloud of depth data. The one or more frames are… Show more

A method for creating and storing a captured image and associated spatial data and augmented reality (AR) data in a file that allows subsequent manipulation and processing of AR objects is disclosed. In embodiments, one or more frames are extracted from a video stream, along with spatial information about the camera capturing the video stream. The one or more frames are analyzed in conjunction with the spatial information to calculate a point cloud of depth data. The one or more frames are stored in a file in a first layer, and the point cloud is stored in the file in a second layer. In some embodiments, one or more AR objects are stored in a third layer. Show less

The present disclosure relates to the field of augmented reality (AR), and specifically to methods and systems for synchronizing an augmented reality video stream across a network.

The present disclosure relates generally to object and motion detection by a camera equipped
computer system. In particular, methods of compensating for camera movement while
performing object recognition and gesture detection by a computer system are described.

The present disclosure relates generally to optimizing sensor data. In particular, methods for dynamically analyzing and switching between data streams from a plurality of sensors to achieve optimal performance.

The present disclosure relates generally to the management of data streams generated by
computer hardware. In particular, methods and systems enabling the sharing of a single
hardware data stream with multiple consuming applications are described.

The present disclosure relates generally to visual training devices, systems, and methods, collectively visual training aids on eyewear. In particular, location aware visual training aids are described herein.

Gesture recognition systems for detecting gesture commands in light conditions and in dark conditions including a computing system having a processor and a thermographic camera configured to detect infrared radiation from a gesture made by a user and communicate gesture image information to the processor for carrying out a computer-readable gesture command are shown and described. In some examples, the computing system and the thermographic camera are supported on an eyewear article frame. In… Show more

Gesture recognition systems for detecting gesture commands in light conditions and in dark conditions including a computing system having a processor and a thermographic camera configured to detect infrared radiation from a gesture made by a user and communicate gesture image information to the processor for carrying out a computer-readable gesture command are shown and described. In some examples, the computing system and the thermographic camera are supported on an eyewear article frame. In some other examples, the computing system and the thermographic camera are components of a mobile device. In even other examples, the computing system and the thermographic camera are components of a desk top computer or a laptop computer. Show less

The present disclosure relates generally to systems and devices for gesture recognition. In
particular, systems and devices using two-dimensional (2D) cameras that are capable of gesture
recognition in three-dimensional (3D) space are described.

The present disclosure relates generally to motion-sensing display apparatuses. In
particular, motion-sensing display apparatuses supported near a user's eye that execute
computer executable instructions in response to user gestures are described.

The present disclosure relates generally to methods for sharing athletic activity
information and systems implementing the same. In particular, this disclosure discusses
personal training and fitness tracking methods and systems on mobile electronic devices
and other related hardware including eyewear.

The present disclosure relates generally to visual training devices, systems, and methods,
collectively visual training aids on eyewear. In particular, location aware visual training aids are
described herein.

The present disclosure relates generally to social networking systems and methods. In particular, social networking systems and methods with geographic proximity based features are described. The server processor is programmed with instructions to receive current geographic position data for each user, calculate an interaction zone for each user, cross reference the interaction zones for each user and identify users with current geographic positions within other users' interaction zones, and… Show more

The present disclosure relates generally to social networking systems and methods. In particular, social networking systems and methods with geographic proximity based features are described. The server processor is programmed with instructions to receive current geographic position data for each user, calculate an interaction zone for each user, cross reference the interaction zones for each user and identify users with current geographic positions within other users' interaction zones, and serve to a given user the user profiles of other users within the given interaction zone of the given user. Show less