Abstract
Recently, a variety of researches and developments on BMIs attract many researchers' attentions. However, most of these BMI researches intend to assist the disabled. The purpose of this study is the development of real-time power assist technology using BMI that can also be used even for healthy people. To achieve this we consider that motion identification by EEG is necessary. In this paper, we analysed the experimental data and tried to clarify the relationship between EEG and load by wavelet transform. From the results, some interesting characterristics are obtained. It shows the possibility to extract the motion information from EEG.
