Google AI researchers have developed a deep learning model capable of accurately estimating advanced walking metrics using data from consumer smartwatches. This new approach utilizes a temporal convolutional network architecture that directly predicts spatio-temporal gait parameters like walking speed and step length, overcoming limitations of previous methods. The study demonstrated that smartwatches are a reliable and practical platform for continuous gait analysis, offering insights into health and fall risk comparable to more cumbersome laboratory equipment. AI
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RANK_REASON Academic paper detailing a new deep learning model for gait analysis using smartwatches.
