Biometric User Attribution for Shared Launch Surfaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional game systems and multi-user systems are limited by a fixed one-to-one relationship between a user and a controller, restricting user interaction flexibility, especially in scenarios where users may switch controllers, move around, or interact with different applications simultaneously, leading to sub-optimal gaming and application experiences.
Innovation Solution
The implementation of a biometric identity-based system that dynamically maps user actions to contexts, allowing users to associate with different controllers and interact using various methods (e.g., gestures, voice commands) without disrupting ongoing games or applications, by using infrared systems, visible light cameras, sound and voice recognition, and haptic interfaces to track and identify users in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed one-to-one relationship between user and controller is maintained, then system simplicity and reliability are preserved, but user interaction flexibility and adaptability deteriorate
Solution Approach 1:
The patent implements dynamic user-context attribution by detecting user actions (voice commands, gestures, controller inputs) and dynamically determining which user context should be applied, rather than using a static one-to-one mapping. This allows the system to adaptively associate actions with the correct user context based on real-time detection, resolving the contradiction between flexibility and complexity.
Solution Approach 2:
The patent introduces an intermediary layer (the context attribution system) that sits between the controller/input devices and the application logic. This intermediary detects various user actions, determines the appropriate user context through biometric or other identification methods, and maps actions to contexts dynamically, thereby enabling flexible user interaction without requiring fundamental changes to the underlying system architecture.
2Adaptability or versatility
If multiple users can access the system simultaneously with different contexts, then user versatility improves, but determining which user context applies to which action becomes more complex
Solution Approach 1:
The patent employs feedback mechanisms where the system continuously monitors user actions (voice commands, gestures, controller inputs) and uses this feedback to dynamically determine which user context should be applied. The system detects the action source, compares it against registered user profiles, and adjusts context attribution in real-time, making the detection and measurement of action attribution manageable despite multiple users.
Solution Approach 2:
The patent replaces traditional mechanical/controller-based user identification with biometric detection systems (voice recognition, gesture recognition, facial recognition). This substitution enables automatic, accurate identification of which user is performing an action, simplifying the attribution process even when multiple users are present, as the biometric systems can distinguish between users without complex manual configuration.
3Ease of operation
If users can switch controllers and interact methods during gameplay, then user experience flexibility improves, but tracking and identifying the acting user in real-time becomes more complex
Solution Approach 1:
The patent implements a universal user identification system that works across multiple interaction modalities (voice commands, gestures, controller inputs). The same biometric detection framework handles all input types, unifying the user identification process regardless of how the user interacts with the system. This multi-functional approach enables controller switching and interaction method changes without requiring separate tracking systems for each modality.
Solution Approach 2:
The system uses passive biometric detection (voice, gestures, facial recognition) that automatically identifies users without requiring active user input or configuration. Users simply perform their natural actions, and the system self-services by detecting and attributing actions to the correct user context automatically, reducing the complexity of user tracking while maintaining flexibility.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Example apparatus and methods concern attributing user actions based on biometric identifications. One example method includes detecting an action intended to control an application associated with a shared launch surface. The method includes associating the action with a body located in a field of view of a biometric sensor associated with a shared launch surface. Data from the biometric sensor is used to determine a biometric identity for the body and then the action is attributed to a user as a function of the biometric identity. A context associated with the user is accessed and an operation associated with the action is selectively controlled based on the context.