One of the most important information that may make it possible to analyse / evaluate the motion sickness incidence is subject's facial expressions during the whole-body exposure to low-frequency oscillations. Measurements of facial expression have to be carried out by means of non-invasive instruments. The authors used recorded video pictures for the analysis of facial expressions. After detailed observations of many records, they selected several parameters that were closely related to motion sickness incidence. Some statistical method such as multiple regression analysis, cluster analysis, etc. and fuzzy integral method with fuzzy measures were applied for the analysis of facial expressions. The authors show that analysis of facial expressions is possible and may give an effective tool for the evaluation of motion sickness incidence.