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Heuristic approaches, which change the weight given to velocity and
acceleration depending on the magnitude of direction change, are
mentioned in https://dl.acm.org/citation.cfm?id=2984590.

Although the Kalman Predictor produces less Jitter than non filtered
methods, it is still fairly noticeable. This is addressed by adding a
heuristic step in the prediction generation.

NIT: Changed InputPredictor::kMinimumTimeInterval to kMinTimeInterval
to resemble variables using Max instead of Maximum.

Change-Id: I5a3e3366b474bb453930bdddb70c85d9ea0e8a94
Reviewed-on: https://chromium-review.googlesource.com/c/chromium/src/+/1822657Reviewed-by: Avi Drissman <avi@chromium.org>
Reviewed-by: Ella Ge <eirage@chromium.org>
Reviewed-by: Navid Zolghadr <nzolghadr@chromium.org>
Commit-Queue: Luis Sanchez Padilla <lusanpad@microsoft.com>
Cr-Commit-Position: refs/heads/master@{#699861}