tracking

To track weight and calculate your TDEE, you log daily weight entries to build a history. The system then applies EMA trend tracking and a Kalman filter to learn your true energy expenditure and provide actionable calorie targets.

EMA trend tracking smooths daily weight fluctuations by applying exponential smoothing to your logged entries. This reduces daily noise from water retention and digestion, revealing the underlying weight trend for more reliable TDEE learning.

The best way to log daily weight for progress reporting is using the dedicated logging command to record your weight and date. This builds a reliable history that triggers EMA trend analysis, Kalman filter learning, and comprehensive progress insights.

Yes, you can use Kalman filter learning to adaptively update your calorie targets. The system processes your weight logging history to learn your personalized TDEE, automatically refining recommended targets as your energy expenditure changes.

Weight tracking with a Kalman filter works for personal coaching contexts by handling weight logging, trend analysis, TDEE updates, and progress reporting. It turns daily client measurements into actionable calorie targets for personal health journeys.

Your TDEE calculation fluctuates with noisy daily weight measurements because raw data obscures true energy expenditure. Applying the Hacker's Diet EMA smoothing and Kalman filter learning filters this noise, stabilizing your personalized TDEE updates.