Oura Smart Ring Sleep-Tracking Accuracy Claims Challenged in Class Action
A proposed class action lawsuit alleges that Oura smart rings cannot accurately measure sleep stages as marketed and instead rely on AI-generated estimates with poor accuracy. The complaint claims Oura falsely advertised its rings as achieving up to 95% sleep-staging accuracy while relying on algorithms that consumers say are unreliable, leading them to make health and lifestyle decisions based on inaccurate data.
What happened
A proposed class action lawsuit filed by Clarkson Law Firm alleges that Oura smart rings cannot accurately measure sleep stages and instead rely on AI-generated estimates. The complaint claims Oura marketed its rings as capable of achieving 79% accuracy in sleep measurements and more recently claimed 95% sleep-staging accuracy compared with clinical sleep labs.
The lawsuit states that Oura advertised its rings as 'built for accuracy' and offering 'unparalleled accuracy,' with the ability to identify four different sleep stages. The complaint alleges that in reality, measuring sleep stages requires electrodes in the scalp and sensors on the eyes, only available in hospital or clinical settings.
Reported impact
According to the lawsuit, Oura users have expressed frustration online with the smart ring's sleep accuracy, with some reporting that they felt they slept poorly but were told their sleep was optimal. The complaint states that people structure their days, interpret how they feel, and design their lives around the inaccurate figures provided by these devices.
Index analysis
A 2025 study published in Scientific Reports reported 53% agreement for four-stage sleep classification with the Oura Ring Gen3. The complaint alleges that sleep staging has 'a coin flip's chance of being correct,' though Oura's lead algorithm scientist responded that a coin flip has two outcomes (50% chance level) while four-stage classification should be compared against a 25% random-guess baseline.
Governance controls
Oura's lead algorithm scientist stated that the sleep staging algorithm was trained on one of the largest sleep wearable datasets in the field, deliberately spanning different ages, skin tones, health statuses and sleep disorders. The complaint seeks injunctive relief to prevent Oura from continuing to misrepresent its products and restitution for consumers who purchased the rings.
Classification
Sources and evidence
This record was researched and written by the Index, based on the following original reporting.