Earlier this year, Samsung established the era of mobile AI with the launch of the Galaxy S24 series, and committed to introducing Galaxy AI on a wider range of devices. True to this promise, Samsung is now bringing Galaxy AI to Galaxy Watch, enhancing its popular health features. By combining powerful on-device AI with the extensive Samsung Health app, Samsung is on the path to building some of the most personalised and secure health experiences yet.
Samsung has been on a mission to deliver an advanced health and wellness experience, starting by utilising meaningful and actionable insights to help users gain a better understanding of user’s health patterns. Now, by combining Galaxy AI with Samsung Health, new health features will provide users with more comprehensive health insights, along with motivational encouragement to help users improve user’s daily wellness. With Energy Score, users can receive a better understanding of user’s daily condition through a combined analysis of personal health metrics including sleep time average, sleep time consistency, bed/wake time consistency, sleep timing, previous day activity, sleeping heart rate and heart rate variability to help users take on user’s day. Plus, Wellness Tips helps users reach users personal health goals by offering insights, motivational tips and guidance based on the specific goals users are looking to achieve.
Accurate and comprehensive health metrics are foundational to the best intelligent health experiences. Enhanced health algorithms and advanced tracking tools will provide more holistic, personalised and actionable insights when combined with AI. Since good health starts with a good night’s rest, Samsung is enhancing its sleep AI algorithm to provide additional in-depth sleep insights. Newly added sleep indicators for Sleep Insights offer users a more detailed and accurate analysis of users sleep quality so users can better understand users sleep patterns and build better habits. These added metrics include movement during sleep, sleep latency, heart rate and respiratory rate during sleep in addition to previously supported metrics like snoring hours, blood oxygen level and sleep cycle.
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