Non-Contact Gesture Screenshot Capture via Position Point Analysis
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Solution Overview
Problem
Conventional screenshot capture methods on devices, such as pressing multiple buttons or tracing paths on the screen, are inconvenient and may lead to erroneous operations or screen damage.
Innovation Solution
A non-contact gesture identifying sensor captures movements near the device to detect preset gestures, allowing for screenshot generation without physical contact, using sensors like XYZ interactive or infrared sensors to record position points and determine if the movement meets a preset condition for screenshot capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple buttons are pressed simultaneously to capture screenshot, then screenshot function is achieved, but operation convenience deteriorates and error rate increases
Solution Approach 1:
The patent replaces the mechanical button-pressing system with a gesture-based control system. Users perform gestures in the air or on the screen without physically pressing buttons, thereby maintaining reliable screenshot capture while significantly improving operation convenience and reducing errors from simultaneous button pressing.
Solution Approach 2:
The patent introduces gesture recognition as an intermediary between user intent and screenshot capture. Instead of directly pressing buttons, users perform gestures that are detected and translated into screenshot commands, reducing operational complexity and error rates while maintaining capture reliability.
2Reliability
If finger tracing path on screen is used to capture screenshot, then screenshot function is achieved, but screen damage risk increases and operation accuracy deteriorates
Solution Approach 1:
The patent replaces the mechanical contact-based tracing system with a non-contact or minimal-contact gesture system. Users perform gestures in the air or with light touches that do not require tracing paths across the screen, thereby maintaining screenshot capture reliability while eliminating screen damage risks from repeated tracing motions.
Solution Approach 2:
The patent extracts the harmful contact-tracing element from the screenshot capture process. By separating the gesture recognition function from physical screen contact, the system maintains operational reliability while removing the source of screen damage and operation inaccuracy associated with tracing paths.
3Reliability
If finger tracing path on screen is used to capture screenshot, then screenshot function is achieved, but operation accuracy deteriorates due to erroneous operations
Solution Approach 1:
The patent replaces the imprecise mechanical tracing system with a more accurate gesture recognition system. By detecting gestures through sensors or camera-based systems rather than relying on finger tracing, the patent improves operation accuracy while maintaining screenshot capture reliability.
Solution Approach 2:
The patent uses gesture copying or pattern recognition where predefined gesture patterns are recognized and matched. This approach improves operation accuracy by providing clear, distinguishable gestures that reduce erroneous operations while maintaining reliable screenshot capture through pattern matching algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables convenient screenshot capture without requiring users to engage multiple buttons or touch the screen, reducing the risk of errors and damage, by using non-contact gestures to trigger screenshot generation.
Implementation Method 1
using sensors like XYZ interactive or infrared sensors to record position points
Data Source
AI summary
Generating a screenshot is disclosed, including: obtaining, from a non-contact gesture identifying sensor associated with a device, a plurality of position points associated with an object's non-contact gesture movement corresponding to respective ones of a plurality of sampling times; determining that the object's non-contact gesture movement comprises a preset non-contact screenshot gesture based at least in part on the plurality of position points meeting a condition associated with the preset non-contact screenshot gesture; and generating a screenshot in response to the determination that the object's non-contact gesture movement comprises the preset non-contact screenshot gesture.


