World Sleep Day: How to improve your sleep with 6 AI tracking features, know here

Sleep tracking has become a common feature in smartwatches and other consumer hardware products.

Google offers several AI-powered sleep-tracking features that can help you monitor and improve your sleep.

Here are the six features that Google offers:

Sleep tracking: Tracks patterns in movement and heartbeat intervals to estimate different stages of sleep and duration.

Sleep profile: A sleep profile is created using an AI machine learning algorithm that recognises clusters of similar characteristics.

Sleep score: Generates a Sleep Score based on sleep duration, percentage of deep sleep and REM sleep.
Cough and snore detection: Uses machine learning algorithms to recognize cough and snore sounds and distinguish between them.

Smart wake: Looks for movement and heart rate patterns that correspond to deep sleep to turn on the alarm.

Sleep sensing: Uses sensors to detect movement, breathing, and temperature changes and provides personalized insights about sleep.

Each feature uses machine learning algorithms to track sleep patterns, assign sleep profiles, provide a sleep score, detect coughs and snores, wake you up at the right time, and provide personalised insights to improve your sleep quality.

By using these features, you can understand your sleep behavior and make adjustments to improve your sleep.