Capturing subtle hand gestures or finger movements? mimem.ai’s calibration-free, multi-camera system already handles the hard work. Just follow these simple tips to improve tracking quality right away.
Use a dedicated hand camera
If your hands are key to your performance, try assigning one or two cameras at chest height, focused on your hands, ideally mounted on a tripod or stable surface, and placed close enough to capture fine detail.
Even if that view doesn’t capture your entire body, it’s fine : mimem.ai will merge all angles to reconstruct the full motion.
This close-up boosts precision for fast finger movements or delicate gestures like pointing, grabbing, or signing.
Control contrast
Your fingers must stand out. The system needs to clearly distinguish them from your clothing, your surroundings, and the rest of your body.
Tracking issues near the hands often come from occlusions, blurry footage, or a lack of contrast with the background.
Avoid clutter, patterned walls, or furniture in the background. A plain surface (even a curtain, sheet, or large poster) can help the system follow your gestures more precisely. If you’re wearing dark sleeves, try lighter colors or fabrics with visible folds to improve separation.
Light hands evenly (and softly)
Good lighting around the hands can help reduce flickering or tracking glitches, especially when fingers blend into shadows.
Shadows from side or overhead lighting can sometimes make hands harder to detect, for example, when fingers overlap or parts of the hand fall into dark areas.
To improve this, try using soft, even lighting, especially around the upper body and arms.
Check our Lighting guide for more tips.
Do a quick hand-focused test run
Before recording your full take, run a short test with the actual gestures you plan to use — point, grab, rotate your wrists, interact with an object etc.
Watch the playback closely:
Are all fingers clearly visible? Do they merge, blur, or flicker at any moment? Are wrists or hands cropped out of frame?
If needed, tweak your lighting, camera angle, or sleeves/background until everything reads cleanly.
It only takes a few seconds, but a targeted test run can make the difference between messy tracking and crisp, natural hand motion.