Teams validating step counters, activity trackers and other wearable sensors against a reference, and anyone who has to defend an accuracy claim to someone who will check it.
Come funziona
- Add the paired counts, one row per walk: the reference on one side and the device on the other.
- Read the limits of agreement, not just the bias - they answer different questions.
- Set your tolerance and the low-count threshold: those are choices about your product.
- Look at the largest single difference next to the summary, and at the flagged short walks.
Cosa ottieni
- Tells you whether two step counters actually agree with each other, not just whether they move together — a distinction a device can pass on correlation while being wrong on every walk.
Schermata
Dettagli tecnici
Come configurare e usare
- Acquista la licenza — la chiave (lic_...) appare nella pagina dell'ordine e via email.
- Accedi su app.synoriaai.com con la tua chiave di licenza.
- Nessuna installazione — il prodotto gira nel browser, sulla tua istanza isolata.
- 1. Open the page and enter a label for your first walk (e.g., 'w1').
- 2. Enter the true step count in the 'Reference' field and the device's count in the 'Device' field.
- 3. Click 'Add pair' to record that walk. Repeat for each walk you have data for.
- 4. Once you've added all your walks, the page will show the bias, limits of agreement, correlation, and the largest single difference.
- 5. Review the results—if you set a reference threshold, any walks below it are flagged separately.
Domande frequenti
What does this tool actually tell me about my wearable?
It shows the bias (average difference) and the limits of agreement (the range where an individual measurement might fall) between your device and the true step count. It also shows correlation, but clearly states that correlation is not agreement—a device that always reads half the true count will have perfect correlation but be wrong.
How does it handle very short walks or missing data?
You can set a reference threshold; any walk below that threshold is flagged separately rather than averaged in, because a 100-step miss is proportionally huge on a short walk. If a column doesn't vary (e.g., all references are the same), correlation is shown as 'undefined' instead of zero, which is the honest result.
Is my data safe? Does this tool store my walk data?
No. All calculations happen in your browser—your entered walk data is never sent to a server or stored. You can refresh the page and everything is cleared.
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