18618935. DISTRIBUTED POSE PREDICTION simplified abstract (QUALCOMM Incorporated)

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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 18618935 titled 'DISTRIBUTED POSE PREDICTION

Simplified Explanation: This patent application describes systems and techniques for generating and processing virtual content in a distributed system, such as a distributed extended reality system. It involves transmitting pose prediction parameters from a client device to a server device, predicting poses, generating virtual content, and displaying virtual objects based on the received content.

  • **Key Features and Innovation:**
   - Generation and processing of virtual content in a distributed system.
   - Transmission of pose prediction parameters between client and server devices.
   - Prediction of poses and generation of virtual content based on the parameters.
   - Display of virtual objects on the client device.
  • **Potential Applications:**
   - Virtual reality gaming.
   - Augmented reality applications.
   - Virtual training simulations.
   - Remote collaboration tools.
  • **Problems Solved:**
   - Enhancing user experience in extended reality systems.
   - Improving the accuracy of pose prediction.
   - Facilitating the creation of interactive virtual environments.
  • **Benefits:**
   - Immersive and interactive virtual experiences.
   - Real-time generation of virtual content.
   - Seamless integration of virtual objects into the user's environment.
  • **Commercial Applications:**
   - Virtual reality entertainment industry.
   - Training and simulation companies.
   - Remote collaboration software developers.
  • **Prior Art:**
   - Prior art related to pose prediction algorithms in virtual reality systems.
   - Research on distributed systems for generating virtual content.
  • **Frequently Updated Research:**
   - Ongoing advancements in pose prediction technology.
   - Research on optimizing distributed systems for virtual content generation.

Questions about virtual content generation in distributed systems: 1. What are the key challenges in accurately predicting poses in extended reality systems? 2. How does the transmission of pose prediction parameters between devices impact the overall performance of the 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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