Abstract
Soft tissue artefact (STA) is caused by the relative displacement of markers or sensors mounted on the skin surface with respect to the underlying bones, and is a major source of error in the kinematic measurement of human movement. In particular, the humeral axial rotation (HAR) is affected by STA. The aim of this study was to propose a method for compensating for STA and to validate its effectiveness. In the proposed method, the HAR angle was calculated by a second-order regression using three independent variables converted from the Cardan angles of the shoulder joint. The calculated HAR angle (HAR-r) was compared with the angle calculated from the direction of the longitudinal axis of the forearm (HAR-f). Highly linear correlations were found between HAR-r and HAR-f when the elbow joint was flexed at 90 degrees. The elbow flexion/extension motion had little influence on the HAR-r, whereas HAR-f became unstable when the elbow joint approached its full extension. Because HAR-r effectively compensates for the STA and is independent of the elbow flexion/extension, the regression method is suitable for the movement analysis of the upper limbs.
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