Improving the accuracy of markerless gait analysis TUS_PR SciReports
. CCC of ankle joint angles in the proposed method showed strong coupling in all conditions. Because the proposed method is fused to the OP and an IMU sensor on the foot segment, this method seemingly improves foot segment angle by compensating for the acceleration and angular velocity data of the IMU. However, only peak plantarflexion angles of the sagittal plane were statistically significant among the four overground gait conditions in MAE between the 3DMC and the proposed method.
This study has a few limitations. First, the participants were young, healthy adults. Although we measured various gait conditions in this study, future studies should include participants with gait disabilities. Second, we did not evaluate the effect of keypoint estimation accuracy on wearing loose clothing, using assistive devices or shoes, and changes in lighting. These changes may affect the accuracy of body keypoint estimation. Finally, pose estimation is based on musculoskeletal alignment.
In conclusion, we aimed to clarify the capability of the gait analysis method fusing RGB camera-based pose estimation by OP and an IMU sensor on the foot segment to measure ankle joint kinematics during various gait conditions. We compared temporo-spatial parameters and lower limb joint angles during overground gait under various conditions, as measured by the 3DMC and OP.
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