Acoustic Data Acquisition and Analysis Framework ID: 2023-029

An innovative framework designed to infer the real-time state of a crowd using acoustic signals.

Technology Overview

This technology introduces a novel approach to understanding and influencing crowd behavior through the analysis of acoustic data. By utilizing microphones or directional microphone arrays, the framework captures acoustic signals in noisy environments, processes these signals to extract relevant features, and applies machine learning algorithms to determine the crowd's state. This method stands out by leveraging crowd noise as a significant signal for analysis and potential influence, rather than dismissing it as mere background noise.

Key Advantages

• Transforms crowd noise into a valuable source of data
• Applies advanced machine learning for real-time crowd state analysis
• Opens new avenues for influencing crowd behavior through acoustic signals
• Enhances crowd engagement and satisfaction in various venues

Problems Addressed

• Difficulty in real-time assessment of crowd states in noisy environments
• Lack of methods to influence crowd behavior using acoustic signals
• Insufficient metrics for measuring crowd engagement and satisfaction

Market Applications

• Entertainment venues such as sports events and political rallies
• Security and surveillance for threat detection and crowd management
• Event management for enhancing audience engagement and experience
• Sports analytics for evaluating player performance and fan satisfaction

Additional Information

Technology ID: 2023-029
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Date Published: 28 March, 2025