Application of motion correction using 3D autoregressive model in kinect-based telemedicine

• Main Authors: Kim, Baek Seob, Kim, Yun Bae, Kim, So-Jeong, Shin, Dong-Hee
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/20888/1/shsconf_icome2017%201%207i.pdf; http://repo.uum.edu.my/20888/; http://doi.org/10.1051/shsconf/20173300005

In telemedicine, where the convergence of different types of medical treatment occurs, it is very important to establish credibility regarding the mutual communication between patients and medical workers by acquiring and sharing more accurate data. For rehabilitation treatment in particular, where motion data are required, auxiliary equipment such as a Kinect sensor is being more widely used.This study proposes a methodology for improving the motion recognition rate by compensating the noise from a Kinect sensor using a 3D auto regressive model. Moreover, this study investigates the methods applied for vitalizing the area of telemedicine under this particular trend.