Connected devices record important biometric data that can tell you about your health, habits and more. However, interpreting this data takes time. That’s why Google Research and Fitbit have teamed up to use artificial intelligence (AI) to help with the analysis process.
On Tuesday at The Check Up, Google Health’s annual event, Google Research and Fitbit announced they are collaborating on a language-extended personal health model (LLM) that gives users more insights. insights and recommendations based on their data in the Fitbit mobile app.
The model will provide Fitbit users with personalized coaching and actionable insights that will help them achieve their health and fitness goals.
Analyze variations in sleep patterns
For example, the LLM could analyze variations in sleep patterns and suggest recommendations on changes to workout intensity to improve sleep quality, Google explains in a press release.
The LLM is built on Google’s Gemini models and refined on “a diverse, de-identified set of health signals from high-quality research case studies.”
To ensure the models are able to reason deeply from the data, accredited coaches and wellness experts validate the studies, according to the release.
Ask the AI to create graphs to better visualize their data
The model is still under development and Google says it will share more research soon. This model follows another major AI update from Fitbit, announced last year: Fitbit Labs.
With Fitbit Labs, Premium users will get early access to experimental AI features, including the ability to ask conversational questions about their health data and even ask the AI to create graphs to better visualize their data.
Fitbit Labs will be available later this year.
Source: “ZDNet.com”