Snap inc. (20240192780). MULTI-SOC HAND-TRACKING PLATFORM simplified abstract
Contents
MULTI-SOC HAND-TRACKING PLATFORM
Organization Name
Inventor(s)
Liviu Marius Coconu of Vienna (AT)
Daniel Colascione of Melbourne Beach FL (US)
Farid Zare Seisan of San Diego CA (US)
Daniel Harris of San Francisco CA (US)
Jennica Pounds of Cape Coral FL (US)
MULTI-SOC HAND-TRACKING PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240192780 titled 'MULTI-SOC HAND-TRACKING PLATFORM
The abstract describes a multi-system on chip (SoC) hand-tracking platform that includes a computer vision SoC and one or more application SoCs. The computer vision SoC hosts a hand-tracking input pipeline, while the application SoCs host applications that utilize the input event data generated by the hand-tracking input pipeline. The applications communicate with components of the hand-tracking input pipeline using shared-memory buffers and inter-process communication (IPC) method calls.
- Computer vision SoC hosting hand-tracking input pipeline
- Application SoCs hosting applications consuming input event data
- Communication between applications and components of input pipeline using shared-memory buffers and IPC method calls
Potential Applications: - Virtual reality and augmented reality systems - Gesture recognition for user interfaces - Gaming and interactive experiences
Problems Solved: - Efficient hand-tracking input processing - Seamless communication between applications and input pipeline components
Benefits: - Enhanced user experience in interactive systems - Improved accuracy and responsiveness in hand-tracking applications
Commercial Applications: Title: "Advanced Hand-Tracking Platform for Interactive Systems" This technology can be used in various commercial applications such as virtual reality gaming, interactive displays in retail settings, and gesture-controlled devices in healthcare.
Prior Art: Researchers can explore prior art related to computer vision SoCs, hand-tracking technologies, and multi-system on chip platforms in the field of human-computer interaction.
Frequently Updated Research: Stay updated on advancements in computer vision algorithms for hand-tracking, improvements in SoC architectures for real-time processing, and applications of hand-tracking in different industries.
Questions about the technology: 1. How does the shared-memory buffer enhance communication between applications and the hand-tracking input pipeline? 2. What are the key challenges in integrating multiple SoCs for hand-tracking applications?
Original Abstract Submitted
a multi-system on chip (soc) hand-tracking platform is provided. the multi-soc hand-tracking platform includes a computer vision soc and one or more application socs. the computer vision soc hosts a hand-tracking input pipeline. the one or more application socs host one or more applications that are consumers of input event data generated by the hand-tracking input pipeline. the applications communicate with some components of the hand-tracking input pipeline using a shared-memory buffer and with some of the components of the hand-tracking input pipeline using inter-process communication (ipc) method calls.
