Pathological Gait Datasets

Skeleton datasets for Normal, Antalgic, Stiff legged, Lurching, Steppage, and Trendelenburg gaits.

Data Quantity

10 people x 6 gaits x 120 instances

Data Form

time, 0, joint0_x, joint0_y, joint0_z, 1, joint1_x, joint1_y, joint1_z, 2, joint2_x, joint2_y, joint2_z, ...

Data Collection

We collected datasets by using multiple Kinect system(6 Kinect v2). We calibrated the coordinate systems of all sensors by using ArUco Markers. For more information, please refer to the below reference or contact me.

Reference

K. Jun, Y. Lee, S. Lee, D. Lee and M. S. Kim, "Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks," in IEEE Access, vol. 8, pp. 139881-139891, 2020, doi: 10.1109/ACCESS.2020.3013029.

Contact

kooksung930@gm.gist.ac.kr