Pretrained models stay strong even at a low 1 Hz for activity recognition; finer-grained health signals benefit from higher sampling rates.
30–60 second windows hit the sweet spot across most tasks — long enough to capture context, short enough to stay sharp.
Full triaxial input consistently beats collapsed vector-magnitude summaries — the extra axes carry signal worth keeping.
Time-domain modeling preserves gait and health cues better than frequency-domain reconstruction.
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