QUALCOMM Incorporated (20240264663). DISTRIBUTED POSE PREDICTION simplified abstract

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DISTRIBUTED POSE PREDICTION

Organization Name

QUALCOMM Incorporated

Inventor(s)

Sriram Ajaykumar of Bangalore (IN)

Vinay Melkote Krishnaprasad of Bangalore (IN)

Arjun Sitaram of Bengaluru (IN)

DISTRIBUTED POSE PREDICTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240264663 titled 'DISTRIBUTED POSE PREDICTION

Simplified Explanation: The patent application describes systems and techniques for generating and processing virtual content in a distributed system, such as a distributed extended reality system.

  • First device in the system transmits pose prediction parameters to a second device.
  • Second device predicts poses based on the parameters and generates virtual content.
  • Virtual content is transmitted back to the first device for display of virtual objects.

Key Features and Innovation:

  • Generation and processing of virtual content in a distributed system.
  • Transmission of pose prediction parameters between devices.
  • Prediction of poses and generation of virtual content based on the parameters.

Potential Applications:

  • Virtual reality gaming.
  • Augmented reality applications.
  • Virtual training simulations.

Problems Solved:

  • Efficient generation and processing of virtual content.
  • Seamless transmission of data between devices in a distributed system.

Benefits:

  • Enhanced user experience in virtual environments.
  • Improved realism in virtual content generation.
  • Increased interactivity in extended reality systems.

Commercial Applications: Virtual reality gaming industry can utilize this technology to enhance user experiences and create more immersive gameplay environments.

Prior Art: Prior art related to this technology may include research on distributed systems, virtual content generation, and pose prediction algorithms.

Frequently Updated Research: Stay updated on advancements in distributed systems, virtual reality technologies, and pose prediction algorithms to enhance the capabilities of the described system.

Questions about Virtual Content Generation in Distributed Systems: 1. How does the system ensure accurate prediction of poses based on the transmitted parameters? 2. What are the potential challenges in maintaining synchronization between devices in a distributed extended reality system?


Original Abstract Submitted

systems and techniques are described herein for generating and/or processing virtual content in a distributed system (e.g., a distributed extended reality system). for example, a first device (e.g., a client device) of a distributed extended reality system may transmit one or more sets of pose prediction parameters (e.g., prediction coefficients, prediction time associated with raw pose data, and/or the raw pose data) to a second device (e.g., a server device) of the distributed extended reality system. the second device may predict one or more poses of the second device based on the set(s) of pose prediction parameters, and may generate virtual content based on a pose of the predicted pose(s) of the first device. the second may transmit and the first device may receive the virtual content. the first device may then display one or more virtual objects based at least in part on the received virtual content.

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