Wearonomics Verified Human Movement Program — 25 Datasets (2026)

Type: Empirical extension study
Status: Completed

This program represents the second structured application of the Wearonomics framework to verify human movement across a continuous set of real-world wearable datasets. A total of 25 sessions were processed, where recorded activity was evaluated through explicit validation rules to determine whether movement could be attributed to genuine human locomotion.

• 25 datasets processed

• 96.84 km recorded

• 26.57 hours logged

• 1,228.0 validated minutes

• 410.2 non-validated minutes

• 74.9% validation efficiency

• 125.6 total credits (aggregated across validation runs)

Across the program, 96.84 kilometres and 26.57 hours of activity were recorded. Of the total time, 1,228.0 minutes were verified as human movement, while 410.2 minutes were excluded as non-validated segments, resulting in a validation efficiency of 74.9 percent. These verified segments were systematically translated into ledger entries, producing a total of 125.6 credits.

The dataset-level results show consistent system behaviour. Sessions with sustained and uninterrupted movement, such as D15 and D17, generated higher credit outputs, while shorter or interrupted sessions, such as D13, produced minimal attribution. This confirms that the framework does not rely on raw activity volume, but on the ability to verify movement as human and continuous.

Due to processing constraints, datasets were validated in sequential batches and later aggregated into a unified ledger. The final accumulation shows a continuous and coherent growth profile, with no discontinuities across runs, demonstrating that the system remains stable under segmented execution and scalable across larger dataset collections.

This program provides empirical evidence that wearable-derived data can be transformed into verifiable representations of human movement and consistently attributed within a structured ledger. The results establish a foundation for extending the framework into operational environments.

The next phase will introduce a digital payment cycle, where credits generated through verified human movement are directly linked to dataset submission, enabling the evaluation of incentive-based participation under real-world conditions.