MULTIPLE CORRESPONDENCE-ANALYSIS OF BIOMECHANICAL SIGNALS CHARACTERIZED THROUGH FUZZY HISTOGRAMS

Data characterizing is considered the first and main stage of the stat istical analysis. Rather than characterizing each biomechanical signal through one or few global indicators, such as the mean or the root me an square, this paper suggests first to cut the scale into several fuz zy windows and to summarize the data within each window through an occ urrence indicator. These indicators become the analysis variables. The y can be analyzed through the multiple correspondence analysis, which shows the most discriminant variables, connections between them, empir ical situation classes and correspondences between these classes and t he most discriminant variables. An example is considered for arguing o ur point of view; it concerns characterizing and analysis of forces si tuated at the hand, foot and back level in a load lifting task. (C) 19 98 Elsevier Science Ltd. All rights reserved.