<p><i>Measuring the motion of human hand joints is a challenging task due to the high number of DOFs. In this study, we proposed a low-cost hand tracking system built on action cameras and ArUco markers for measuring finger joint rotation angles. The lens distortion of each camera was corrected first via intra-calibration and the videos of different cameras were aligned to the reference camera using a dynamic time warping based method. Two methods were proposed and implemented for extracting the rotation angles of finger joints: one is based on the 3D positions of the markers via inter-calibration between cameras, and the other is based on the relative marker orientation information from individual cameras. An experiment was set up to evaluate the effectiveness of the proposed system. The right hand of a volunteer was included in this practical study, where the movement of the fingers was recorded and the finger rotation angles were calculated with the two proposed methods. The results indicated that though using the second method may collect less data than the first one, the results were more stable, reliable, and the analyzing process is more efficient. Therefore, it is recommended for being used to measure finger joint rotation in practical setups.</i></p>

Identify Finger Rotation Angles With Aruco Markers and Action Cameras

Paper Proceedings: https://asmedigitalcollection.asme.org/IDETC-CIE/IDETC-CIE2021/volume/85369

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