This comparison evaluates two signal smoothing techniques for estimating kinematic parameters, implying enhanced precision in movement analysis.
We compare two signal smoothing and differentiation approaches: a frequently used approach in the speech community of digital filtering with approximation of derivatives by finite differences and a spline smoothing approach widely used in other fields of human movement science.
No takes yet. Share an insight, caveat, or question.
Kuberski et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: