Ensure movement data is comparable and reliable across environments, platforms, and collection methods. Telemetry Normalization standardizes raw inputs so downstream signals reflect behavior, not sensor artifacts.
Raw telemetry is rarely clean. Differences in devices, sampling rates, coordinate systems, and environmental conditions introduce inconsistencies that distort analysis if left unaddressed.
Without normalization, downstream signals risk reflecting sensor behavior rather than human execution. This leads to false positives, missed signals, and reduced trust in outputs.
Telemetry Normalization ensures that every signal Field IQ surfaces is based on comparable, interpretable data, regardless of how or where it was collected.
During Operations or Training
Telemetry Normalization runs automatically in the background. Teams do not interact with it directly, but benefit from stable, trustworthy signals throughout the exercise.
During Review and Evaluation
Normalized data ensures that differences in performance reflect actual behavior rather than sensor inconsistencies, supporting fair and defensible evaluation.