Dmitry Morozov

Dmitry Morozov

Walnut, California, United States
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About

I am co-founder of 3DiVi Inc., a leading developer of multi-modal biometric and Vision AI…

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Experience

Education

Patents

  • Methods and Systems for Controlling Devices Using Gestures and Related 3D Sensor

    Issued US 8,823,642B2

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  • User-centric Three-dimensional Interactive Control Environment

    Issued US 8,896,522

    "Virtual Touch" - user interface for a remote touch based UI.

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  • Method and Systems for Determining 6DoF Location and Orientation of Head-Mounted Display and Associated User Movements

    Filed US 20150070274

    The technology described herein allows for a wearable display device, such as a head-mounted display, to be tracked within a 3D space by dynamically generating 6DoF data associated with an orientation and location of the display device within the 3D space. The 6DoF data is generated dynamically, in real time, by combining of 3DoF location information and 3DoF orientation information within a user-centered coordinate system. The 3DoF location information may be retrieved from depth maps acquired…

    The technology described herein allows for a wearable display device, such as a head-mounted display, to be tracked within a 3D space by dynamically generating 6DoF data associated with an orientation and location of the display device within the 3D space. The 6DoF data is generated dynamically, in real time, by combining of 3DoF location information and 3DoF orientation information within a user-centered coordinate system. The 3DoF location information may be retrieved from depth maps acquired from a depth sensitive device, while the 3DoF orientation information may be received from the display device equipped with orientation and motion sensors. The dynamically generated 6DoF data can be used to provide 360-degree virtual reality simulation, which may be rendered and displayed on the wearable display device.

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  • Methods and Systems for Determining Location of Handheld Device within 3D Environment

    Filed US 13/855,743

    Key technology integrating skeletal tarcking with virtual reality. It allows detecting an exact location of devices with MEMS sensors such as smartphone or head mounted display when in use in front of a depth camera.

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Projects

  • NUITRACK. 3D Body & Skeletal Tracking Middleware (Kinect Replacement)

    As co-founder of 3DiVi, I created and continue to lead the development of Nuitrack — the industry’s only truly cross-platform 3D skeletal tracking and gesture recognition SDK. Nuitrack delivers real-time, markerless full-body tracking, hand tracking, gesture recognition, and pose estimation that works with virtually any depth sensor (Intel RealSense, Orbbec Astra/Persee/Femto series, Kinect v1/v2/Azure, Structure Sensor, and more) and runs natively on Windows, Linux, Android, and…

    As co-founder of 3DiVi, I created and continue to lead the development of Nuitrack — the industry’s only truly cross-platform 3D skeletal tracking and gesture recognition SDK. Nuitrack delivers real-time, markerless full-body tracking, hand tracking, gesture recognition, and pose estimation that works with virtually any depth sensor (Intel RealSense, Orbbec Astra/Persee/Femto series, Kinect v1/v2/Azure, Structure Sensor, and more) and runs natively on Windows, Linux, Android, and iOS.

    Key capabilities & impact:
    - Seamless integration with Unity, Unreal Engine 5 (official Marketplace plugin + MetaHuman animation support), C++, C#, Python, and TouchDesigner
    - Ready-to-use solutions: virtual fitting room, hand-tracking UI, biomechanical CSV export for OpenSim/R/Matlab, and ready-made motion games
    - Powers applications in gaming, fitness & sports, medical rehabilitation, interactive art, smart retail, robotics, and audience analytics — with thousands of commercial installations worldwide.

    Nuitrack remains the go-to “Kinect replacement” for developers who need sensor-agnostic, production-ready body tracking without being locked into a single hardware vendor. The product continues to receive major accuracy and feature updates (latest major tracking improvements in 2026), and the SDK is publicly available on GitHub with full documentation and samples.

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