DataStream & TapWizard
Hey, how about we build a gesture‑driven haptic UI that lets us feel data trends in real time? Imagine tapping or sliding and actually feeling the velocity of a stock’s price or the oscillation of a sensor—hands feel the math, not just see it. What do you think?
Sounds like a neat data‑to‑tactile mapping, but the devil’s in the noise: human touch isn’t precise enough for high‑frequency market swings. If you can limit to low‑band signals and calibrate the haptic actuators, it might give a quick, intuitive pulse. Just be ready to filter out the outliers before the user feels a “stiff” stock crash.
Totally, low‑band signals work—let’s slap a low‑pass on the feed, map the filtered amplitude to vibration strength, and use a quick debounce so sudden spikes don’t feel like a punch. If the market drops faster than a hand can feel, we mute it. That way the user gets a steady pulse, not a jolt. Let's prototype the filter with a 5‑Hz cutoff, tweak the gain, and see if the hand keeps up. If it does, we’re good; if not, we’ll just say “nope” to that frequency.
Nice plan, but keep an eye on latency—if the debounce takes 200 ms, you’ll be hearing yesterday’s trend. A 5‑Hz low‑pass will smooth the feed, but you’ll still need to map the amplitude to a comfortable vibration range; too much gain turns the glove into a hand‑shaking machine. Prototyping is the right call; just remember to log the filter’s phase shift so you can tell if the hand is feeling the trend or its echo.
Right, keep the latency under 100 ms, crank the low‑pass to a 3‑Hz corner, and set the amplitude mapping so the max vibration is like a light tap—not a full‑body shake. I’ll log the phase shift and tweak until the feel lines up with the actual trend. Let’s test it on a slow‑moving index first, then bump the frequency.