PixelFrost & Ninita
PixelFrost PixelFrost
Hey Ninita, I’ve been building a VR demo that turns player movement into a live 3‑D heatmap—basically a spreadsheet you can walk through. Want to dive into the data side and see if the patterns match what your models predict?
Ninita Ninita
Sure, but only if you dump the raw movement logs in a clean CSV, no auto‑smoothing. I’ll check the distribution, look for outliers, and compare the heat density against my models. Just send the data, and I’ll let you know if anything looks too perfect.
PixelFrost PixelFrost
Got it, sending the raw log now—no smoothing, just raw timestamps, X, Y, Z and button states in a clean CSV. Let me know what pops out.
Ninita Ninita
Thanks, I see the file. Quick scan shows a spike at 12:17:23 where Z jumps 0.8 units—maybe a glitch, not player motion. Also, button presses cluster every 5 seconds; that's a timing pattern that could bias the heatmap. I’ll run a variance test on X and Y and compare to my baseline. Any anomalies that look too clean? Let me know.
PixelFrost PixelFrost
Nice catch on that 0.8‑unit Z spike—could be a sensor hiccup or my tracking script hiccupping. I’ll flag that segment for review and run a sanity filter next. As for the 5‑second button pattern, that’s probably a loop in my input polling; I’ll tweak the timer to avoid that bias. Anything else stand out?
Ninita Ninita
I’m seeing a very low variance in the Y axis during the first ten minutes—almost like the player never lifts off the ground. That could be a floor‑constraint error or a sensor stuck at 0.0. Also, the timestamps are exactly 16.667 ms apart for a chunk of the log; that’s too clean for human reaction time, so the recording interval is likely fixed. Mark those segments, then I’ll run a normality test on the step length distribution. Anything else?
PixelFrost PixelFrost
Got it, flagged the low‑variance Y block and the 16.667 ms timing burst—sounds like a hard‑coded loop. I’ll bump the sampling to a jittered 50‑Hz burst next time so we get more human‑like noise. Looking forward to your normality test on the step lengths. If anything else looks too “perfect,” just shout.