Emotional Response Assessment for Presentation Panels
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Solution Overview
Problem
Existing image analysis techniques can only detect and analyze emotional content in individual, static images, failing to effectively assess the emotional responses of a panel of individuals to a presentation in real-time or over a duration.
Innovation Solution
A computer-implemented method that synchronizes video recordings of a presentation and a panel observing it, using emotion analysis to identify and store emotional expressions of individuals over time, allowing for the extraction and display of emotional data associated with specific events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If known image analysis techniques are used to detect emotional content, then emotional expression can be analyzed in individual static images, but the system cannot assess emotional responses of a panel of individuals over time during a presentation
Solution Approach 1:
The system segments the panel into multiple individual faces by detecting each face's location and boundaries in video frames. Each face is then independently analyzed for emotional expressions, allowing the system to assess emotional responses of multiple individuals simultaneously rather than treating the panel as a single unit.
Solution Approach 2:
The system transitions from analyzing static 2D images to processing dynamic video sequences with temporal dimension. By capturing video frames at multiple time points and tracking emotional expressions across frames, the system adds the time dimension to emotional assessment, enabling evaluation of emotional responses over the duration of a presentation.
2Measurement precision
If static image analysis is used, then emotional content can be detected in individual images, but real-time or continuous emotional monitoring of a panel is not possible
Solution Approach 1:
The system processes video frames continuously throughout the presentation, maintaining uninterrupted emotional monitoring. Each frame is analyzed for facial expressions, and the system maintains continuous tracking of emotional states across the entire duration, eliminating gaps in temporal coverage while preserving detection precision.
Solution Approach 2:
The system performs preliminary face detection and location identification in each video frame before conducting detailed emotional expression analysis. By pre-locating faces and their boundaries, the system prepares the data structure needed for accurate emotional measurement, ensuring precision is maintained across all time points.
Data Source
AI summary
A computer-implemented method assesses emotional responses of a panel of individuals to a user-defined event in a presentation. The method records video recordings of a presentation and a panel observing the presentation so that the video recordings may be synchronized with one another. The panel recording is processed to obtain emotional expression data for each face, in each frame, for the duration of the recording. A user may define the beginning and ending of an event in the presentation. The user may selected individuals of interest from the panel, as well as metrics regarding the emotional expressions. The method extracts emotional expression data meeting the requirements of user and displays the data.