Abstract
It is important for robots to acquire the information of a person's grasped objects when robots assist or communicate with the person. Kinect can extract the image of a person and his/her grasped objects, therefore to extract the image of the grasped objects is the problem to be solved. To perform image extraction for such subjects, it had been proposed methods using Image Feature Extraction and Machine Learning. However, these require a huge learning image data. Therefore, this study proposes the method with Kinect by using Body Dimension Database. By performing the Multiple Regression Analysis, to obtain wrist position, We estimated arm lengths, which is unable to measure adequately with Kinect, with human body measurements which is able to measure adequately with Kinect. And we acquired the information of a person's grasped objects by extracting the image of hand grasped objects.
