IDENTIFIERS FOR HUMAN MOTION ANALYSIS
Abstract
This paper proposes a series of identifiers that show the fact that the human motion is specific to each person. In order to find these parameters, a simple system based on video analysis was used to capture and analyze the human motion. Measurements were conducted on seven different subjects that were filmed during normal walking. Experimental data were processed with dedicated software and specific software programs developed by the authors. In the end, a combination of five identifiers that demonstrate the uniqueness of human motion was proposed.
Key words: human motion analysis, gait identifiers, markers, video processing, inverse kinematics
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