Uncertainty-aware ensemble model for stride length estimation in gait analysis
Abstract: Highlights•A Heteroscedastic Neural Network for stride length prediction with uncertainty.•A novel training approach that focuses on an individual’s average stride length.•Estimation of each stride length and the overall distribution.•Rigorous separation of data at the object level for evaluation purposes.
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