The upcoming AI features in the Fitbit app, accessible through Fitbit Labs, aim to analyze various health metrics gathered from smartphones and wearables. Google is integrating generative AI into its health and fitness products, including the Fitbit app. Revealed at the recent Check Up with Google Health 2024 event, the company announced its plans to introduce “Personal AI” across its products to offer improved health features to users. Google is also developing a Gemini AI-based dedicated Personal Health Large Language Model (LLM) to provide an “on-demand personal coach.” However, the company stressed that this technology is not meant to diagnose, treat, mitigate, cure, or prevent any disease, injury, or condition.
“Fueled by Google’s AI expertise, Fitbit Lab can assist you in deriving meaningful and personalized insights by amalgamating your multimodal time series health and wellness data,” stated Florence Thng, Director of Product at Google.
As part of this initiative, Google will roll out several AI features within the Fitbit app via Fitbit Labs, offering early access to these upcoming features. By utilizing AI to comprehend and analyze all health-centric data collected by smartphones and wearables like smartwatches, Google will provide users with detailed insights into their health and fitness.
Currently exclusive to Fitbit premium users, interested individuals can register via Fitbit Labs to access these features.
In the forthcoming release, the Fitbit app will gain new functionalities, such as the ability to pose questions based on logged data, including sleep tracking, steps taken, heart rate, and more. Users can interact with the AI bot to receive understandable insights into the data. Additionally, it can generate charts using these data points in an easy-to-interpret format.
Users can ask questions like, “Is there a correlation between my sleep patterns and daily activity metrics?” Based on the data, the chatbot will provide a personalized and summarized response. In the future, Google will enable the AI to analyze and understand users’ health and fitness levels using more markers, allowing the AI to combine various biomarkers for more insightful analyses.
