Group Synchrony Scoring via Biomarker Similarity Analysis

The patent introduces an intermediary computing system that processes biomarker data from multiple sensors to calculate group synchrony scores. This intermediary layer handles the complex computations and data integration, isolating the complexity from the end-user interface while maintaining high measurement precision through sophisticated algorithms that analyze physiological and behavioral data patterns.

The system employs multi-functional sensors that can detect various types of biomarkers (physiological and behavioral) simultaneously. These sensors serve multiple purposes: collecting individual biomarker data, comparing it across group members, and providing feedback for both monitoring and intervention purposes, thereby reducing the need for separate specialized devices for each measurement type.

The system implements periodic sampling of biomarker data rather than truly continuous monitoring. Sensors collect physiological and behavioral data at regular intervals, which is then processed to assess group synchrony states. This periodic approach maintains reliable assessment capability while significantly reducing energy consumption compared to continuous high-frequency sampling.

The system utilizes passive sensing technologies that leverage existing physiological signals (such as heart rate variability, skin conductance, and movement patterns) that occur naturally during group interactions. These sensors require minimal active intervention or additional energy input beyond basic sensor operation, as they detect signals that are inherently present during normal group activities.