For the evaluation of the usability and the physical burden of using products, average values of various biological information such as muscle activity measured by electromyogram (EMG) or energy metabolic rate are estimated. However, the force to be applied to a products and the posture are sometimes different because of difference of individuals and proficient at the product, there is often a limit in extracting motion feature and using for evaluation according to those procedures based on conventional Ergonomics. In this research, we proposed an analytical method that was available for capturing various movement features by merging the biological information signals and diplaying the tracks on two-dimensional space in the form of Lissajours Figures We have applied this method to the motion of handling work apparatus and confirmed its effectiveness.