Motion Recognition System for Real-Time Visitor Satisfaction Analysis
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Solution Overview
Problem
Current satisfaction survey methods in field spaces, such as tourist spots and exhibition halls, face low participation rates, high costs, and lack real-time data collection, particularly due to manual processes and the difficulty in accurately analyzing facial expressions for satisfaction levels.
Innovation Solution
A system utilizing video cameras to capture and recognize viewer motions, such as hand signals, and analyze features like gender and age, allowing for real-time satisfaction analysis and grouping, thereby reducing costs and improving participation through non-contact, motion-based feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual survey methods using questionnaires are used, then survey implementation is simple, but participation rate is low and time consumption is high
Solution Approach 1:
The patent replaces manual questionnaire distribution and collection with an automated image recognition system using cameras and AI algorithms. The system automatically captures images, detects hand gestures, recognizes satisfaction levels, and stores results in a database, eliminating the need for physical questionnaires and manual data collection processes.
Solution Approach 2:
The system enables viewers to automatically complete the satisfaction survey by simply making hand gestures that are captured by the camera. The automated recognition and analysis system processes the gestures without requiring viewer interaction beyond the gesture itself, making the survey process self-service oriented and significantly improving participation rates.
2Measurement precision
If specialized survey institutions are hired for face-to-face surveys, then data collection accuracy is high, but cost is considerable
Solution Approach 1:
The patent replaces human surveyors with an automated system comprising cameras, image processing units, and databases. The system uses computer vision technology to capture images, detect hand gestures, recognize satisfaction levels, and store results automatically, eliminating the need for hired surveyors while maintaining measurement accuracy through standardized algorithmic analysis.
Solution Approach 2:
The system creates a digital copy of the satisfaction survey process through automated image capture and digital data storage. Instead of relying on human observers to record and interpret satisfaction levels, the system captures visual information, processes it through algorithms, and stores digital results, providing consistent and accurate measurements without human intervention costs.
3Device complexity
If traditional survey methods are used, then implementation is straightforward, but real-time monitoring is not possible
Solution Approach 1:
The patent implements continuous real-time monitoring through an automated system that continuously captures images, processes hand gestures, recognizes satisfaction levels, and stores results in a database without interruption. The system operates continuously as viewers pass through the exit, enabling real-time satisfaction monitoring and immediate data availability for analysis and decision-making.
Solution Approach 2:
The system replaces manual data collection and analysis processes with automated image recognition and digital processing. Cameras continuously capture images, AI algorithms instantly analyze hand gestures and determine satisfaction levels, and results are immediately stored and made available, eliminating the time delay inherent in manual survey methods while maintaining system simplicity through integrated automation.
Data Source
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AI summary
The present invention relates to a system for surveying satisfaction through motion recognition in a field space, in which when a viewer exiting from a viewing site space such as a tourist spot, an exhibition hall or the like expresses an evaluation as a motion such as a hand signal, a gesture or the like in front of an exit, the motion is captured and recognized using a video camera, and viewer's satisfaction is investigated, and the system includes: a video acquisition unit for acquiring a video of a viewer captured using the camera device, together with shooting information of the video of the viewer; a satisfaction extraction unit for detecting a motion signal by recognizing a motion of the viewer from the video of the viewer, and extracting a satisfaction level corresponding to the detected motion signal; an attribute extraction unit for extracting attribute values from the video of the viewer or the shooting information of the video of the viewer, and setting the extracted attribute values as attributes of a corresponding satisfaction level; and a statistical analysis unit for calculating statistical values by statistically analyzing data on the satisfaction level, for each attribute combination by combining the attributes. According to the system as described above, as a viewer expresses a satisfaction level by a simple body motion at an exit and the body motion is recognized and analyzed, an effect of saving time and money required for satisfaction survey and increasing viewer's participation can be obtained.