Context-Aware Sensor Gesture Interface for Digital Image Parameter Control
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Solution Overview
Problem
Conventional digital image editing systems are inefficient, inflexible, and inaccurate due to the need for extensive user interactions with sliders and visual controls, which are indirect, unintuitive, and take up valuable screen space, making them difficult to use on small devices and inaccessible to novice users.
Innovation Solution
A digital image enhancement system that uses context-aware sensors and multi-dimensional gesture inputs to modify image parameters directly on the image, eliminating the need for sliders and other visual controls, allowing users to interact intuitively with the image to generate enhanced digital images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If slider elements and visual controls are used to modify digital image parameters, then users can control image editing functions, but the system becomes complex and requires excessive user interactions
Solution Approach 1:
The patent removes traditional slider elements and visual controls from the user interface, extracting the essential function of parameter adjustment and implementing it through direct gesture interactions on the image itself. This eliminates the need for separate control elements while maintaining parameter modification capability.
Solution Approach 2:
The patent introduces sensors as intermediaries that detect gesture inputs and translate them into parameter modifications. The sensors act as a mediator between the user's intuitive gestures and the image editing system, enabling complex parameter control without visual controls.
2Adaptability or versatility
If slider elements and visual controls are used to modify digital image parameters, then users can control image editing functions, but screen space is consumed and flexibility is reduced
Solution Approach 1:
The patent extracts and removes all traditional visual controls and chrome elements from the interface, allowing the entire screen to be dedicated to displaying the digital image. This maximizes screen real estate and enables the interface to adapt to various screen sizes including mobile devices.
Solution Approach 2:
The patent creates a universal interface where the image display area serves multiple functions: it is both the content being edited and the control interface itself. Gestures performed directly on the image enable parameter modification, making the display area multi-functional and adaptable to all device types.
3Measurement precision
If traditional slider controls are used, then parameter modification is possible, but accuracy is reduced due to difficulty in precisely entering modifications
Solution Approach 1:
The patent uses sensors as intermediaries to detect precise gesture inputs and translate them into accurate parameter modifications. The sensor system captures subtle gesture variations and converts them into precise parameter changes, achieving high measurement precision without requiring users to manually adjust sliders.
Solution Approach 2:
The patent replaces the mechanical slider system with a sensor-based gesture recognition system. This substitution eliminates the imprecision inherent in manual slider adjustment by using sensors to detect and interpret gesture movements, converting them into accurate parameter modifications through automated processing.
Data Source
AI summary
The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize context-aware sensors and multi-dimensional gesture inputs across a digital image to generate enhanced digital images. In particular, the disclosed systems can provide a dynamic sensor over a digital image within a digital enhancement user interface (e.g., a user interface without visual elements for modifying parameter values). In response to selection of a sensor location, the disclosed systems can determine one or more digital image features at the sensor location. Based on these features, the disclosed systems can select and map parameters to movement directions. Moreover, the disclosed systems can identify a user input gesture comprising movements in one or more directions across the digital image. Based on the movements and the one or more features at the sensor location, the disclosed systems can modify parameter values and generate an enhanced digital image.