AI-Powered Wearable System Improves Fitness Training and May Reduce Injury Risk

Wearable devices are increasingly being used to monitor heart rate, movement, exercise intensity and other indicators of physical activity. New research is examining whether these data can be used not only to track exercise but also to personalize training.

A newly reported AI-based framework combines information from multiple wearable sensors with individual baseline measurements to provide training recommendations and identify potential injury risks.

In an eight-week study involving 120 participants, researchers reported greater improvements in fitness among people who received the personalized intervention compared with a control group. The intervention group also experienced a lower injury rate.

The technology is potentially useful because exercise programs are often designed using generalized recommendations even though individuals differ substantially in fitness level, recovery ability and injury risk.

However, the study was conducted at a single institution, and researchers noted limitations that could affect how broadly the findings apply. More research across different age groups and training environments will be necessary.

The development nevertheless illustrates how wearable technology and AI could increasingly be used to make exercise programs more individualized.