Development of an Optimization Method for Determining Human Hand Link Lengths Based on Surface Measurement
Determining internal hand link lengths accurately is necessary in hand modeling for the application of ergonomic design and evaluation in virtual environment. Misconceived or cursory estimation of hand link lengths is however not rare in literature or practice. This article describes an optimization method for deriving hand link lengths from measured surface maker data. The method employs an optimization routine which minimizes the variations of hand link length and the depth from surface marker to joint center simultaneously during the hand grasping motion. To test the proposed method, an experiment was conducted, in which a 3D optoelectronic motion capture system was utilized to measure hand and finger positions of 18 male participants for grasping two different cylinders. The grand mean of the Root-mean-square (RMS) differences between link lengths estimated by the proposed method for larger cylinder (d=50 mm) and smaller cylinder (d=30 mm) was 1.7 mm. The grand mean of RMS differences between link lengths estimated by the proposed method and regression method of Buchholz et al. (1992) was 3.0 mm. The grand mean of RMS differences between estimated wrist-to-fingertip (WTF) lengths by the proposed method and calculated WTF lengths by motion data was 4.7 mm, which was smaller than the grand mean of RMS differences of WTF lengths estimated by the regression method (9.1 mm). The proposed optimization method can estimate hand link lengths based on surface measurements and be utilized in human hand modeling required in the fields such as ergonomics and medical science.
Xiaopeng Yang Kihyo Jung Heecheon You
Department of Industrial Engineering and Management,Pohang University of Science and Technology, Poh Department of Industrial Engineering and Management, Pohang University of Science and Technology, Po
国际会议
17th World Congress on Ergonomics(第十七届国际人类工效学大会)
北京
英文
1-5
2009-08-09（万方平台首次上网日期，不代表论文的发表时间）