Lifting heavy objects with wrong postures can cause a back pain. Therefore, we propose a new method for analyzing the lifting motion using Kinect in order to point out wrong postures in a lifting motion and to generate guidance sentences for correcting wrong postures. The postures that can discriminate between the correct and wrong motions are those at the starting and ending time points in object lifting. Our proposed method consists of extracting the start and end time points of an object lifting motion and generating guidance depending on the knee and underarm angles. The feature of our method is to be able to extract time points from unstable and transient time series during the start and end of a motion with leg analysis that analyzes the inclusion structure of convex pattern shapes in time series. We also evaluate the precision and recall of the classification between the correct and wrong motions in 20 motion data of 10 people, and analyze the factors of classification failure.
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