Avatar Gesture Filtering for Prohibited Content
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Solution Overview
Problem
Existing avatar control systems fail to effectively limit the display of prohibited gestures in real-time, potentially leading to offensive or inappropriate content being transmitted, especially in online environments where users may interact with diverse audiences.
Innovation Solution
A system that determines, based on motion tracking data, whether a gesture is prohibited and alters the image data representing the gesture in real-time, using filtering or substitution techniques, and differentiates between local and remote display scenarios to manage the visibility of such gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time motion tracking is implemented to control avatar gestures, then user interaction responsiveness is improved, but the risk of displaying prohibited gestures increases
Solution Approach 1:
The system performs preliminary gesture classification before the avatar displays the gesture. Motion tracking data is analyzed in advance to identify prohibited gestures, and the image data is altered or the gesture is prevented from displaying before it can cause harm. This preliminary detection and prevention mechanism maintains real-time responsiveness while blocking harmful content.
2Object-affected harmful factors
If gesture monitoring and alteration is performed in real-time, then prohibited content is blocked effectively, but system processing complexity increases
Solution Approach 1:
The system segments the gesture processing into distinct modules: motion tracking, gesture classification, and image data alteration. By dividing the complex real-time processing into separate functional segments, each component can be optimized independently, reducing overall system complexity while maintaining effective prohibited content blocking.
3Object-affected harmful factors
If gesture image data is altered for remote transmission, then offensive content is prevented from reaching users, but user experience and immersion are reduced
Solution Approach 1:
The system applies different processing quality levels to different contexts. For local display, the original gesture data is used to maintain full user experience and immersion. For remote transmission, the gesture data is altered or filtered to prevent offensive content. This localized differentiation ensures that user experience is preserved where appropriate while blocking harmful content in remote environments.
Data Source
AI summary
Technology determines whether a gesture of an avatar depicts one of a set of prohibited gestures. An example of a prohibited gesture is a lewd gesture. If the gesture is determined to be a prohibited gesture, the image data for display of the gesture is altered. Some examples of alteration are substitution of image data for the prohibited gesture, or performing a filtering technique to the image data depicting the gesture to visually obscure the prohibited gesture.


