Samsung will expand the AI-powered tools for its wearable smartwatches with the One UI 6 Watch software version. The upcoming Samsung Galaxy Watch will boost health features based on AI with the One UI 6 Watch.
A key feature is the Energy Score, which provides personalized health recommendations based on your overall energy levels.
To develop the Energy Score feature, Samsung Research collaborated with Professor Patrick O’Connor from the Mary Frances Early College of Education’s Department of Kinesiology at the University of Georgia, USA.
Energy is closely related to everyday efficiency and fatigue and is based on imperfectly understood neural circuit activity in the brain. However, measuring the exact energy levels is quite difficult since it involves complex brain activity.
Now, to bring a solution to this complexity, Samsung is collaborating with a sleep and exercise company to introduce a facility named “Overall Capacity.”
This Energy Score feature will be beneficial for regular exercise and can boost overall capacity, potentially permitting you to maintain higher energy levels even with challenging workouts.
Once this feature arrives on your wearable device, you can calculate your energy score based on your sleep and activity levels. To achieve this, Samsung Research combined its energy score model with optimization AI and generative AI technologies.
The health guidance provided offers you an easy-to-understand view of their current energy score and science-based suggestions to manage appropriate levels of activity and rest for the day. By paying more attention to the factors that affect their daily energy score, users can go on to improve their lifestyle habits.
Professor O’Connor conducted extensive research in collaboration with Samsung developers, attempting to enhance the reliability and validity of the Energy Score. He also explained that “from a scientific perspective, the Energy Score reflects predicted variation in the ability to perform brief cognitive tests of attention across the day based on objective information obtained from smart device sensors during the past week.”
