Tags: Sleep Tracking

Fitbit is rolling out a public preview of its new Gemini‑powered AI health coach, called Coach, to Premium subscribers in the United States on Android, with iOS support slated for later in the year. The feature acts as a personal trainer, sleep advisor, and wellness guide, creating custom routines, adjusting plans in real time, and offering insights to improve sleep quality. The rollout coincides with a redesign of the Fitbit app, which now organizes content into four main tabs—Today, Fitness, Sleep, and Health—making key metrics easier to access. Users need an active Premium subscription and a compatible Fitbit device to try the preview. Weiterlesen

SleepSpace is an AI‑driven sleep app that tracks nightly rest using a phone’s microphone and motion sensor, optionally integrating data from wearables such as Apple Watch or Oura. Users can start a seven‑day trial, after which they may subscribe for $25 per month or $99 per year. The app’s chatbot, Dr. Snooze, provides instant, science‑based recommendations and, when needed, connects users with human sleep experts. Early testers report clearer insights into wake‑ups, sleep quality scores and actionable tips that helped reduce nighttime interruptions. Weiterlesen

A recent test of the Huawei Watch GT 6 Pro showed the device’s TruSleep algorithm accurately detecting a vivid dreaming episode, reporting a sleep score of 78 after just over six hours of rest. The watch identified an unusually high REM share of about 32 percent and offered actionable dietary advice to improve future sleep quality. Comparisons with other wearables highlighted the growing ability of trackers to turn raw data into useful guidance. Weiterlesen

SleepSpace, an AI‑driven sleep‑tracking app founded by Dan Gartenberg, provides users with detailed sleep analysis and personalized recommendations through its Dr. Snooze chatbot. The app works without mandatory wearables, using a phone’s microphone and motion sensor to monitor sleep sounds and movement. After a seven‑day trial, users can subscribe for ongoing access. SleepSpace’s machine‑learning models, trained on polysomnography data, deliver sleep‑stage breakdowns and actionable tips, while human experts intervene when the AI cannot answer a query. Reviewers note the app’s accuracy, ease of use, and the clarity it brings to nightly sleep patterns. Weiterlesen