![]() ![]() Optical motion capture and single-camera sensors were collected simultaneously, making it feasible to capture stride-to-stride variability. This is supported by the Bland–Altman plot of the joint angles at maximum flexion. ICC (A, 1) indicated the validity was substantial. There were no significant differences between the sample entropy of knee angle and joint angles of the sagittal plane by the comparisons of joint angle results extracted from different systems ( p > 0.05). ICC (C, 1) indicated the test–retest reliability within systems was in almost complete agreement. Furthermore, the agreement between the data obtained by markerless and marker-based measurements was assessed by Bland–Altman analysis. Paired-sample t-test and intra-class correlation coefficients were used to assess validity and reliability. Sample entropy was adopted to study dynamic signal irregularity degree for gait parameters. Moreover, 30 participants performed a walking task. This study aims to develop a 3D markerless pose estimation system using OpenPose and 3DPoseNet algorithms. However, gait analysis is often performed in the laboratory using optical sensors combined with reflective markers, which may delay the detection of health problems. Quantifying kinematic gait for elderly people is a key factor for consideration in evaluating their overall health.
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