Image Capture Triggering via Motion Pattern Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image collecting methods in electronic devices require a significant amount of time to enable the image collecting function, leading to delayed snapshot capture.
Innovation Solution
The method employs a Support Vector Machine (SVM) algorithm to analyze historical data from specific device motions, enabling the image collecting unit when a first specific motion changes to a specific device posture and monitoring for a second specific motion within a set duration to automatically initiate image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the image collecting function is enabled only after the device motion stops, then the photographing function can be accurately triggered, but the time required to enable the image collecting function becomes relatively long
Solution Approach 1:
The system performs preliminary actions by enabling the image collecting function in advance when specific motion patterns are detected, rather than waiting for motion to completely stop. The SVM algorithm identifies characteristic motions (pickup, presentation to face, stabilization) and triggers image collection preparation ahead of time, reducing the delay while maintaining accurate triggering through motion pattern recognition.
2Ease of operation
If the camera application is enabled by a general program, then the system can be operated simply, but the image collecting function cannot be quickly enabled
Solution Approach 1:
The system performs self-service by automatically detecting specific motion patterns through the SVM algorithm and autonomously enabling the image collecting function without requiring manual user input. The device monitors its own motion characteristics and triggers the camera function automatically when the characteristic motion sequence is recognized, achieving both simplicity and speed.
3Reliability
If the system waits for motion to stop before enabling image collection, then false triggers are reduced, but the response time for capturing snapshots is delayed
Solution Approach 1:
The system enables image collection in advance when the characteristic motion pattern is detected, performing the useful action before the traditional stopping condition is met. The SVM algorithm recognizes the motion sequence (pickup, presentation, stabilization) and triggers preparation for image collection during the motion itself, not after it stops, thus improving response time while maintaining reliability through pattern recognition.
Solution Approach 2:
The system uses feedback from motion sensors to continuously monitor device movement and feed this information to the SVM algorithm, which determines whether the characteristic motion pattern is complete. This feedback mechanism allows the system to accurately判断 when to enable image collection based on real-time motion data, reducing false triggers while improving response time.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The present invention discloses an image collecting method and apparatus, where the image collecting method includes: enabling an image collecting unit in an electronic device, when it is identified that after a first specific motion, a gesture of the electronic device changes to a specific device gesture; monitoring whether the electronic device performs a second specific motion in the specific device gesture; and when it is detected that the electronic device performs the second specific motion in the specific device gesture, controlling the image collecting unit to obtain an at least first image by means of collection within motion time in which the electronic device performs the second specific motion.