Wearable Image Editing via Gesture and Voice Control
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Solution Overview
Problem
Wearable computing devices lack effective methods for image editing, as conventional editing tools like mice or touchscreens are unavailable, making it difficult for users to edit images captured or downloaded on these devices, especially in time-sensitive or multi-tasking scenarios.
Innovation Solution
The wearable display device enables image editing through hand gestures, head movements, audible voice commands, and eye movements, using cameras, gyroscopes/accelerometers, and voice capture units to recognize and respond to user inputs, providing a user interface for selecting and adjusting image adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional editing tools (mice or touchscreens) are used, then image editing precision is improved, but device portability and wearability are worsened
Solution Approach 1:
The patent replaces mechanical input devices (mice, touchscreens) with voice-based and gesture-based control systems. The wearable device captures voice commands through microphones and hand gestures through cameras or sensors, translating these into image editing commands without requiring physical contact or mechanical interfaces.
Solution Approach 2:
The patent introduces voice recognition software and gesture recognition algorithms as intermediaries between the user and the image editing system. These intermediaries interpret natural human actions (speaking, gesturing) and convert them into precise digital commands for image manipulation, bridging the gap between simple wearable interfaces and complex editing functions.
2Adaptability or versatility
If external editing tools are required, then image editing capability is improved, but operational convenience is worsened
Solution Approach 1:
The wearable device performs image editing functions independently without requiring external computers or specialized equipment. The device contains integrated processors, memory, and software applications that enable users to capture, edit, and manage images directly on the wearable unit, making the system self-sufficient for complete image workflows.
Solution Approach 2:
The wearable device integrates multiple functions including image capture, voice recognition, gesture recognition, and image editing within a single platform. This multi-functional design eliminates the need for separate external tools while maintaining comprehensive editing capabilities through unified software applications.
3Manufacturing precision
If complex user interfaces are provided, then image editing precision is improved, but ease of operation is worsened
Solution Approach 1:
Instead of requiring users to adapt to complex interface controls, the patent inverts the approach by having the system adapt to natural human behaviors. Voice commands and hand gestures are used because these are already intuitive to humans, eliminating the learning curve associated with traditional graphical interfaces while maintaining precise control over editing operations.
Data Source
AI summary
Image editing on a wearable device includes a system which obtains sensor data via the wearable device. The sensor data includes a representation of hand movement, head movement or voice command associated with a user. The system executes an application for editing an image based on the obtained sensor data. The system provides for display a list of image adjustment types associated with the application. The system selects an image adjustment type based on one or more of the hand movement, the head movement or the voice command. The system provides for display a prompt having options to adjust a property of the selected image adjustment type. The system selects one of the options included in the prompt. The system modifies an image based on the selected option. The system then provides the modified image for storage in a data structure of a memory unit in the wearable device.