Error and data coding in the multi-dimensional analysis of human movement signals.
This paper discusses two main problems of human motion data: their uncertainty and analysis. Considering the first point, a simulating method is proposed to assess the error. This approach is applied to a joint angle, computed from the positions of points obtained through a three-dimensional video-computer system. Considering the second point, a multi-variate methodology based on appropriate data coding and the correspondence factor analysis method is proposed. The outcomes of this allow the relations within the time windows of the variable set, the distances within the observation set and the correspondences between these two sets to be shown graphically. To illustrate this approach, two examples are considered: the analysis of the low back-pelvis angle in an ergonomical study about the sitting posture and the analysis of joint angles in the gait.
Loslever
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Laboratoire d'Automatique Industrielle et Humaine, Université de Valenciennes, France.
D001696:Biomechanical Phenomena; D003627:Data Interpretation, Statistical; D017143:Fuzzy Logic; D005684:Gait / Q000502:physiology; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009068:Movement / Q000502:physiology*; D011187:Posture / Q000502:physiology; D012815:Signal Processing, Computer-Assisted