Dual Sensor Motion Locus Segmentation for Local Action Recognition
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Solution Overview
Problem
Conventional methods for recognizing user actions in electronic devices suffer from response delays and poor sensitivity in detecting slight actions due to heavy calculations and interference from whole actions, making it difficult to accurately extract local actions.
Innovation Solution
An information processing method and system that utilize two electronic components fixed on different parts of a user to acquire and distinguish between whole and local motion loci, allowing for precise recognition of local actions by calculating relative motion and rotation angles, enabling better interference removal and control instruction generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic image processing is used to recognize user actions, then the system can identify gestures, but the response delay increases due to heavy calculations
Solution Approach 1:
The patent segments the motion recognition task into two parts: whole body motion (tracked by first electronic component) and local action (tracked by second electronic component). This segmentation allows the system to process only relevant local motions after removing whole-body interference, significantly reducing calculation complexity and response delay while maintaining recognition accuracy.
2Measurement precision
If a single sensor device is used to recognize user actions, then the device can track motion locus, but slight local actions cannot be extracted due to interference from whole actions
Solution Approach 1:
The patent uses two separate electronic components to segment the detection of whole action and local action. The first component tracks whole body motion while the second component tracks local actions. By processing these segmented data streams separately and then combining them, the system effectively removes whole-action interference and extracts subtle local actions with high precision.
Solution Approach 2:
The patent introduces relative motion locus as an intermediary concept. By calculating the motion of the second electronic component relative to the first electronic component, the system creates a reference frame that eliminates whole-body motion interference, allowing clear extraction of local actions.
3Adaptability or versatility
If camera-based dynamic image processing is used, then user gestures can be recognized, but sensitivity to slight actions deteriorates
Solution Approach 1:
The patent segments the gesture recognition system into whole-body tracking and local-action tracking components. This segmentation enables the system to maintain versatility in recognizing various gestures while simultaneously improving sensitivity to slight local actions by isolating them from whole-body motion interference through relative motion calculation.
Data Source
AI summary
An information processing method, a system and an electronic device are disclosed. The method includes: acquiring a first motion locus with the first electronic component, where the first motion locus is generated by the first part from a first time instant to a second time instant; and acquiring a second motion locus with the second electronic component, where the second motion locus is generated by the second part from the first time instant to the second time instant. The first electronic device may obtain and execute a first control instruction corresponding to the first motion locus and the second motion locus. With the method and electronic device, an advantage of precisely recognizing a slight local action of the user is achieved.