TY - JOUR
T1 - The measurement of in vivo joint angles during a squat using a single camera markerless motion capture system as compared to a marker based system
AU - Schmitz, Anne
AU - Ye, Mao
AU - Boggess, Grant
AU - Shapiro, Robert
AU - Yang, Ruigang
AU - Noehren, Brian
N1 - Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015
Y1 - 2015
N2 - However, the ability of a single markerless camera system to quantify clinically relevant, lower extremity joint angles has not been studied in vivo. Therefore, the goal of this study was to compare in vivo joint angles calculated using a marker-based motion capture system and a Microsoft Kinect during a squat. Fifteen individuals participated in the study: 8 male, 7 female, height 1.702±0.089m, mass 67.9±10.4kg, age 24±4 years, BMI 23.4±2.2kg/m2. Marker trajectories and Kinect depth map data of the leg were collected while each subject performed a slow squat motion. Custom code was used to export virtual marker trajectories for the Kinect data. Each set of marker trajectories was utilized to calculate Cardan knee and hip angles. The patterns of motion were similar between systems with average absolute differences of <5 deg. Peak joint angles showed high between-trial reliability with ICC>0.9 for both systems. The peak angles calculated by the marker-based and Kinect systems were largely correlated (r>0.55). These results suggest the data from the Kinect can be post processed in way that it may be a feasible markerless motion capture system that can be used in the clinic.
AB - However, the ability of a single markerless camera system to quantify clinically relevant, lower extremity joint angles has not been studied in vivo. Therefore, the goal of this study was to compare in vivo joint angles calculated using a marker-based motion capture system and a Microsoft Kinect during a squat. Fifteen individuals participated in the study: 8 male, 7 female, height 1.702±0.089m, mass 67.9±10.4kg, age 24±4 years, BMI 23.4±2.2kg/m2. Marker trajectories and Kinect depth map data of the leg were collected while each subject performed a slow squat motion. Custom code was used to export virtual marker trajectories for the Kinect data. Each set of marker trajectories was utilized to calculate Cardan knee and hip angles. The patterns of motion were similar between systems with average absolute differences of <5 deg. Peak joint angles showed high between-trial reliability with ICC>0.9 for both systems. The peak angles calculated by the marker-based and Kinect systems were largely correlated (r>0.55). These results suggest the data from the Kinect can be post processed in way that it may be a feasible markerless motion capture system that can be used in the clinic.
KW - Hip and knee angles
KW - Kinect
KW - Markerless motion capture
KW - Squat
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U2 - 10.1016/j.gaitpost.2015.01.028
DO - 10.1016/j.gaitpost.2015.01.028
M3 - Article
C2 - 25708833
AN - SCOPUS:84933676837
SN - 0966-6362
VL - 41
SP - 694
EP - 698
JO - Gait and Posture
JF - Gait and Posture
IS - 2
ER -