A large-scale validation study of 246 participants found that consumer smartwatches are a highly reliable platform for estimating key gait metrics, such as walking speed and step length. Using a novel deep learning model, wrist-worn smartwatches achieved accuracy comparable to smartphone-based methods. This enables practical, continuous gait analysis outside lab settings for health monitoring and fall risk assessment.