Human-Computer Interaction Track Detection Through Path Segmentation
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Solution Overview
Problem
Existing human-computer interaction technologies face challenges in accurately determining movement tracks without increasing the accessible volume of movement targets, especially in scenarios with small diameters or high precision, and struggle to efficiently evaluate collision and movement out of effective areas.
Innovation Solution
A method and device for segmenting movement paths into sub-paths using a pre-created JSON file, monitoring and recording movement tracks, and identifying them with determination models to detect human-computer interaction accurately, applicable to regular and special figure paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor measurement method is used to detect movement tracks, then detection precision is improved, but the accessible volume of movement target increases
Solution Approach 1:
The patent introduces a camera as an intermediary device to capture movement tracks from a distance, eliminating the need to mount sensors on the movement target itself. The camera captures images of the target's movement path, and image processing algorithms analyze these images to determine the track, achieving precise detection without increasing the target's accessible volume.
Solution Approach 2:
The patent replaces the mechanical sensor mounting approach with an optical imaging system. Instead of using physical sensors attached to the target, the system uses cameras to capture visual information and computational algorithms to extract movement track data, substituting mechanical measurement with optical and computational methods.
2Volume of moving object
If sensor with small volume is used, then accessible volume of movement target is maintained, but economic cost increases
Solution Approach 1:
The patent uses camera images as a copy or representation of the movement target's position and path. Instead of directly measuring the target with expensive small sensors, the system captures visual copies of the target's movement and processes these images to extract the required track information, reducing hardware costs while maintaining measurement capability.
Solution Approach 2:
The patent replaces expensive mechanical sensors with a more economical optical imaging system. The camera-based approach, combined with image processing algorithms, provides a cost-effective alternative to using small, expensive sensors mounted on the target, achieving the same measurement function with lower economic cost.
3Productivity
If dynamic balance evaluation method is used, then overall motion evaluation is achieved, but collision results in different areas cannot be measured
Solution Approach 1:
The patent segments the movement path into multiple discrete points or segments along the trajectory. By dividing the continuous movement path into segments, the system can independently analyze each segment for collision detection, allowing precise measurement of collision results in different areas while maintaining efficient overall evaluation through automated processing of each segment.
Data Source
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AI summary
Embodiments of the present application provide a human-computer interaction movement track detection method, device, apparatus, and computer-readable storage medium. The method comprises segmenting a movement path to obtain one or more sub paths; monitoring and recording movement of a movement target in each of the sub paths so as to obtain an interactive movement track of the movement target in each of the sub paths; identifying the interactive movement track of the movement target in each of the sub paths via a determination model corresponding to each of the sub paths; based on identification of the human-computer interaction movement track of each of the sub paths, completing human-computer interaction movement track detection on the movement target. In this way, detection accuracy of the human-computer interaction movement track is improved.