Capturing Motion,
Crafting Stories

Cloth organizing, edge alignment, folding, and pressing may seem simple, but they involve continuous and subtle bimanual movements. Accurately capturing these small hand motions is important for motion data collection and robot manipulation research.

In this case, the operator wears gloves equipped with reflective markers and performs a sequence of cloth-folding tasks, including organizing the cloth, aligning its edges, folding, and pressing it into shape.

The NOKOV motion capture systemcontinuously tracks the reflective hand markers and provides high-precision hand motion data in real time, accurately capturing changes in hand position and movement details throughout the cloth-folding process.

Motion capture converts these continuous and subtle bimanual movements into measurable and analyzable motion data. Click here and explore more applications of hand motion capture and dexterous hand tracking.

This high-precision human motion data can support the analysis of bimanual manipulation and research in robot manipulation, robot teaching, and motion data collection. Click and explore more motion capture applications for robot manipulation, as well as NOKOV solutions for embodied AI and robot learning.