Set for release in the second half of this year, the latest Galaxy Watch will incorporate One UI 6 Watch to further enhance the AI-driven health functionalities of the wearable. A standout feature of the new interface is the Energy Score, which provides users with personalised health recommendations based on a numerical score reflecting their 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.
Samsung Newsroom explored the new Energy Score — designed to enhance the digital healthcare experience.
Energy is closely related to everyday efficiency and fatigue and based on imperfectly understood neural circuit activity in the brain. As a result, objectively quantifying energy is not easy. Samsung Research and Professor O’Connor’s team joined forces to define and calculate an individual’s energy based on the available science.
While most existing services focus solely on physical aspects when measuring energy, Overall Capacity considers both physical and cognitive factors. Mental stressors can affect energy levels, as evidenced by disrupted sleep patterns and increased fatigue when stressed.
Essentially, energy reflects the amount of activity one can sustain relative to their total capacity. Exceeding one’s usual physical or mental load reduces energy in the short term. For example, if someone typically exercises at a low intensity for 30 minutes daily — but decides to engage in moderate-intensity exercise for an hour one day — their Energy Score is expected to drop the following day.
“Through our collaboration with Professor O’Connor, we were able to address this challenge in a scientifically meaningful way,” said Yunsu Lee, Head of the Data Intelligence Team at Samsung Research. “We will continue to develop data and AI technologies to ensure that Samsung’s various devices are used more widely to enhance users’ lives.”