Expression-Adaptive Watch Face Rendering for Personalized Wearables
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Solution Overview
Problem
The watch-face interfaces of smartwatches lack diversity and personalization, leading to a poor user experience due to limited styles and inability to adapt to user expressions or preferences.
Innovation Solution
A display method for a watch-face interface that customizes the interface based on user feature information, using a wearable device, electronic device, and server to generate dynamic-effect images that match the user's expression, allowing for personalized and interactive watch-face customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static watch-face interfaces are used, then the device structure remains simple, but the user experience deteriorates due to lack of diversity and personalization
Solution Approach 1:
The patent transforms static watch-face interfaces into dynamic ones by capturing real-time user expressions through the camera and generating corresponding dynamic effect images. The watch-face interface now changes based on the user's current expression state, making the interface adaptive and lively rather than fixed and static.
Solution Approach 2:
The system enables automatic watch-face customization by capturing user expressions and generating matching dynamic effects without requiring manual configuration. The device autonomously selects and applies appropriate watch-face interfaces based on detected expression types, eliminating the need for users to manually browse and select from multiple interface options.
2Ease of operation
If manual watch-face selection is implemented, then users can switch between different interfaces, but the interaction becomes tedious and user experience deteriorates due to repeated manual operations
Solution Approach 1:
The system automatically captures user expressions through the camera and selects appropriate watch-face interfaces based on detected expression types. This eliminates manual intervention entirely, as the device self-adjusts the watch-face interface according to the user's current emotional state, saving time and effort.
Solution Approach 2:
The system continuously monitors user expressions through the camera and provides real-time feedback by adjusting the watch-face interface to match the detected expression. This closed-loop feedback mechanism ensures the interface dynamically responds to user emotions, creating a more engaging and convenient interaction experience.
3Adaptability or versatility
If expression-based dynamic effects are generated, then user engagement improves through personalized interfaces, but the processing complexity and energy consumption increase
Solution Approach 1:
The system processes only the necessary facial expression data from camera captures rather than analyzing complete images. By focusing specifically on key facial features and expression types, the processing load and energy consumption are reduced while still achieving effective dynamic effect generation.
Data Source
AI summary
An electronic device acquires a first expression image of a user in response to a first trigger operation and obtains a target image. Then, the electronic device sends an image generation request to a server. The image generation request includes the target image and initial expression information of the first expression image. The server generates a dynamic-effect file corresponding to the target image in response to the image generation request. The dynamic-effect file includes a dynamic-effect image obtained by rendering the target image based on the initial expression information. The server sends the dynamic-effect file to the wearable device. The wearable device displays a corresponding watch-face interface based on an acquired second expression image after detecting a second trigger operation. The watch-face interface includes the dynamic-effect image that matches an expression type of the second expression image.