Touch Interaction User Attribution Using Facial Recognition
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Solution Overview
Problem
Existing speech processing systems struggle to accurately attribute user profiles to non-voice touch interactions on multi-user devices, leading to generic responses and lack of personalization in user interactions.
Innovation Solution
Implementing user recognition techniques, such as face recognition and biometric sensors, to identify users based on touch inputs on touch screen devices, allowing the system to associate a user profile with touch interactions and customize responses accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If speech processing is used for user identification, then voice-based personalization is achieved, but non-voice touch interactions cannot be attributed to specific users
Solution Approach 1:
The patent combines speech processing and touch processing systems by introducing a wake word detection mechanism that triggers both voice-activated actions and touch-screen personalization. When a user says a wake word, the system merges the speech identification with subsequent touch interaction tracking, creating a unified user profile that applies to both voice and touch inputs.
Solution Approach 2:
The wake word acts as an intermediary signal that bridges speech and touch interaction systems. It serves as a trigger mechanism that activates the touch processing system and establishes user identity before touch interactions occur, enabling personalization without requiring direct voice commands for each action.
2Device complexity
If generic responses are provided for touch interactions, then system simplicity is maintained, but user personalization and relevance are reduced
Solution Approach 1:
The system performs preliminary user identification through wake word detection before touch interactions begin. By establishing the user profile in advance using voice-activated wake words, the system prepares personalized touch interaction responses without adding complexity to the core touch processing architecture.
Solution Approach 2:
The patent applies local quality by providing personalized responses only for touch interactions that occur after wake word detection identifies a specific user. The personalization is localized to the touch interaction context rather than requiring system-wide complexity changes, maintaining simplicity while adding personalization where needed.
3Adaptability or versatility
If multiple users can interact with the device, then device versatility is improved, but accurate user profile attribution becomes difficult
Solution Approach 1:
The system uses wake word detection as feedback to identify which user is currently interacting with the device. By continuously monitoring for wake words and associating them with touch interactions, the system provides accurate real-time user profile attribution that adapts to multiple users switching devices.
Solution Approach 2:
The patent implements dynamic user profile attribution by continuously updating the active user identifier based on wake word detection. The system dynamically switches between user profiles as different users speak the wake word, enabling accurate real-time attribution that adapts to changing user contexts.
Data Source
AI summary
Techniques for determining user identification and attributing the user identification to a touch input received at a touch screen enabled electronic device are described. Some embodiments may include a touch screen enabled electronic device performing facial recognition to determine the identification of a user providing a touch input to the touch screen enabled electronic device. In some embodiments, the user identification is determined from a group of users associated with the electronic device. The touch input may correspond to an action or request, such as selecting an icon on the touch screen. In some embodiments, output data may be generated for display on the touch screen in response to the selected action or request. The user identification determined from the facial recognition may be used to personalize or customize, such as based on user preferences, the output data for display on the touch screen.