We distinguish between dynamic and static features based on temporal dependency.
Dynamic features (e.g. impulsivity, smoothness, fragility) depend on the temporal evolution of a physical signal. They require multiple frames and capture changes, transitions, or stability over time and can use a sliding window.
And static features (e.g. symmetry, Contraction Index) are computed frame by frame. Each time instant is independent and can ignore past frames, as the feature depends only on the current configuration.