Robust Identification of Three Dimensional Thumb and Index Finger Kinematics With a Minimal Set of Markers

Abstract

This study presents a methodology to determine thumb and index finger kinematics while utilizing a minimal set of markers. The motion capture of skinsurface markers presents inherent challenges for the accurate and comprehensive measurement of digit kinematics. As such, it is desirable to utilize robust methods for assessing digit kinematics with fewer markers. The approach presented in this study involved coordinate system alignment, locating joint centers of rotation, and a solution model to estimate threedimensional (3D) digit kinematics. The solution model for each digit was based on assumptions of rigidbody interactions, specific degrees of freedom (DOFs) at each located joint, and the aligned coordinate system definitions. Techniques of inverse kinematics and optimization were applied to calculate the 3D position and orientation of digit segments during pinching between the thumb and index finger. The 3D joint center locations were reliably fitted with mean coefficients of variation below 5%. A parameterized form of the solution model yielded feasible solutions that met specified tolerance and convergence criteria for over 85% of the test points. The solution results were intuitive to the pinching function. The thumb was measured to be rotated about the CMC joint to bring it into opposition to the index finger and larger rotational excursions (>10 deg) were observed in flexion/extension compared to abduction/adduction and axial rotation for all joints. While the solution model produced results similar to those computed from a full marker set, the model facilitated the usage of fewer markers, which inherently lessened the effects of passive motion error and reduced the postexperimental effort required for marker processing.