Mobile Camera Gesture False Trigger Reduction via Context Verification
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Solution Overview
Problem
Mobile devices prone to misidentifying gestures, resulting in unintended camera clicks and subsequent unwanted picture taking, which consumes memory, battery, and requires users to manually delete unnecessary images from both device and cloud storage.
Innovation Solution
Implementing a system using multiple cameras on a mobile device to ascertain the user's intent through contextual analysis and a confidence spectrum, where the front-facing camera evaluates the context to determine if the user intends to take a picture, and prompts the user to delete unintended photos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If camera invocation gesture is activated for quick picture taking, then picture taking speed is improved, but false gesture recognition rate increases
Solution Approach 1:
The patent introduces a second camera as an intermediary verification mechanism. When a gesture is detected, the system uses the second camera to capture verification imagery and analyze contextual information (such as whether the user's face is visible or whether the device is being held in a typical photography position). This intermediary step mediates between the gesture detection and the actual picture taking, reducing false triggers while maintaining quick access for legitimate photography needs.
2Quantity of substance
If multiple pictures are taken in burst mode, then picture coverage is improved, but memory consumption increases
Solution Approach 1:
The system implements feedback by analyzing verification imagery captured by the second camera to determine whether the gesture was intentional. Based on this feedback, the system selectively prevents picture taking in false gesture cases, thereby avoiding unnecessary memory consumption. The feedback loop continuously monitors gesture patterns and verification results to improve discrimination between intentional and unintentional gestures over time.
3Reliability
If pictures are automatically saved to cloud location, then data backup is improved, but user time for managing unwanted images increases
Solution Approach 1:
The system performs preliminary action by verifying gesture intent before pictures are taken and before they are uploaded to the cloud. By using the second camera to capture and analyze verification imagery in real-time, the system proactively prevents unwanted pictures from being captured in the first place. This eliminates the need for subsequent user intervention to delete unwanted images, saving both storage space and user time.
4Measurement precision
If camera operates continuously to capture gestures, then gesture detection accuracy is improved, but battery consumption increases
Solution Approach 1:
Instead of continuous operation, the system uses periodic action by activating the second camera only when a gesture is detected. The verification imagery is captured temporarily and then discarded if not needed, rather than continuously recording. This periodic activation significantly reduces battery consumption while maintaining high gesture detection accuracy through on-demand verification.
Data Source
AI summary
A camera invocation gesture to access a first camera on a mobile device is received by the mobile device. Responsive to receiving the camera invocation gesture, a second camera on the mobile device is utilized to ascertain a context associated with whether a user likely intends to take a picture. If the mobile device ascertains that the user likely intends to take a picture, the mobile device can be placed in an operational picture mode in which pictures can be or can continue to be taken and saved on the mobile device. If the mobile device ascertains, from the context associated with the second camera, that the user likely does not intend to take a picture, then any pictures that are or were taken can be saved and the user can be prompted as to whether they wish to delete the pictures.