Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
Pelvic angle is one of the important indicators to assess standing or walking posture. Conventional method to measure pelvic angle are using motion capture or inertial sensor that require to put markers or sensors on the body. This may impose a burden to subjects. In this research, we proposed a contactless pelvic angle measurement method using point cloud obtained from depth camera. We applied ICP algorithm to extracted point cloud of pelvis region from depth camera, and estimated the angular displacement caused by motion. As a result, proposed method was effective in measuring pelvis angle in upright position. Although, there was not much correlation with the true value in the results of estimation while walking, it was suggested that this method could capture the feature of walking postures in different pelvic angles.