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๐Ÿง˜ Base Practice โ€” capture engine, working proof

Cody2 ยท 2026-07-12 20:35 WEDT ยท now: ยท classifier inlined from harvest/engines/gestureRecognizer.js (unmodified scoring)

motion โ€“ hand โ€“ phase idle

๐ŸŽž๏ธ the 1fps review artefact (what a reviewer would see)

One frame per second, already blurred โ€” a moving silhouette, not a video of a person. Gold-ringed frames = the continuation window a reviewer's playback slows down on. The sharp image never exists anywhere: blur is applied in the same draw call that reads the camera, and the slider cannot go below the 62% floor.

what this proves

1 ยท blur-at-capture: the only pixels ever drawn, stored, or analysed are post-blur (the tracker runs on the blurred 96ร—72 frame itself).
2 ยท consciousness check: raise-and-lower detected by motion-centroid rise + return โ€” no ML, no identity.
3 ยท continuation โญ•: after a ding, ~8fps centroid samples for 6s โ†’ the harvested path classifier โ†’ kind: circle.
4 ยท the artefact: 1fps strip + a flagged continuation point โ€” review in seconds, judgement aimed where it lives.