Advancing Personalized User Experiences using Video Classification

Based on Patent Research | CN-111375196-B (2024)

Interactive attractions often fail to maintain steady user interest throughout an experience. Static systems cannot sense when guests feel bored or frustrated, leading to lower satisfaction. Video classification solves this by using cameras to categorize sequences of movement and expressions over time. This technology identifies shifting emotional states by analyzing how facial cues evolve during an activity. Consequently, operators can adjust game difficulty or attraction pacing instantly, ensuring every visitor remains happy and fully engaged.

SOLUTION OVERVIEW

Manual Observation Evolution: AI Monitoring

Video classification acts as a dynamic brain for interactive environments by analyzing sequences of motion. This technology processes live feeds from cameras to track how visitor gestures and facial cues change over time. By looking at a series of frames rather than just a single image, the system recognizes the difference between a high-five of excitement and a shrug of confusion. It then translates these visual patterns into emotional data, allowing amusement systems to receive instant feedback and react accordingly.

Integrating this intelligent monitoring into existing ride control software enables seamless automation of guest experiences. It functions like a live theater director who signals the actors to speed up or slow down based on audience reactions. This continuous loop of sensing and adjusting reduces the need for manual staff monitoring while ensuring that game difficulty remains perfectly balanced. Ultimately, these smart systems create more personalized adventures, paving the way for intuitive attractions that truly understand their visitors.

HOW IT WORKS

Reading Emotional States in Video

Capturing High-Definition Motion Data

High-resolution cameras installed throughout the attraction continuously record live video feeds of visitors. These cameras monitor movement patterns, facial cues, and body language without requiring physical sensors or interrupting the guest experience.

Analyzing Sequences of Visual Frames

The system processes sequential images over time to understand the flow of visitor gestures rather than looking at isolated snapshots. By evaluating how expressions evolve during a ride or game, the software distinguishes between temporary reactions and sustained emotional shifts.

Translating Motion into Emotional Insights

Advanced algorithms categorize these visual sequences into specific emotional categories like excitement, boredom, or confusion. This transformation turns raw video data into actionable information that characterizes the guest's current level of engagement.

Triggering Real-Time Experience Adjustments

The processed data communicates directly with attraction control systems to modify pacing, narrative elements, or difficulty levels. This automated feedback loop ensures that the environment reacts instantly to keep every visitor fully immersed and satisfied.

Potential Benefits

Maximized Visitor Engagement Levels

The system continuously monitors guest gestures and facial cues to detect boredom or frustration, allowing for real-time adjustments that keep every participant fully immersed in the attraction.

Automated Personalized Guest Experiences

By accurately distinguishing between different emotional reactions, the technology creates tailored adventures that adapt to individual preferences without requiring intrusive sensors or manual inputs.

Improved Operational Resource Efficiency

Automated video classification reduces the constant need for manual staff monitoring by acting as a digital director that manages game pacing and difficulty settings autonomously.

Data Driven Attraction Optimization

Operators gain valuable insights into visitor emotional trends over time, providing precise data to refine attraction narratives and ensure long-term satisfaction across diverse audience groups.

Implementation

1 Install Camera Hardware. Mount high-definition cameras at strategic angles to capture visitor movements and facial expressions throughout the attraction space.

2 Establish Network Connectivity. Configure high-speed data links to transmit live video feeds from the cameras to the central processing unit.

3 Configure Video Algorithms. Set up the video classification software to recognize specific motion sequences and map them to guest emotional states.

4 Integrate Control Systems. Connect the AI output to existing ride or game control software to enable automated real-time experience adjustments.

5 Validate System Accuracy. Test the feedback loop with live participants to ensure environmental changes correctly correspond to observed visitor engagement levels.

Source: Analysis based on Patent CN-111375196-B "Perception-based dynamic game state configuration" (Filed: August 2024).