TITLE:
Measurement of Ankle Joint Kinematics Using IMUs during Countermovement Jumps and Lateral Skater Jumps
AUTHORS:
Ifeoluwa Olawore
KEYWORDS:
Sensors, Kinematics, Dynamic, Algorithm, Filter, Integrate
JOURNAL NAME:
Open Access Library Journal,
Vol.11 No.7,
July
31,
2024
ABSTRACT: This study compared Inertial Measurement Unit (IMU) and Optical Motion Capture (OMC) systems in measuring peak ankle angles and Range of Motion (ROM) during Countermovement Jumps (CMJ) and Lateral Skater Jumps (LSJ). Data during these agility movements were analyzed and the ankle angles in pitch, roll, and yaw for the IMU were determined using algorithms which integrated gyroscope data, aligned it with foot flat reference, and fused it with accelerometer-derived inclination angles using a complementary filter. OMC data was conventionally derived using Vicon’s inbuilt software algorithms. We hypothesized that IMU-based methods would parallel OMC in capturing peak angles and ROM during CMJ and LSJ landings, with accuracy and reliability assessing via Root Mean Square (RMSE) and Intraclass Correlation (ICC) statistics. For CMJ, high accuracy and reliability were observed in the Peak Positive Frontal angle with RMSE of 6.72˚ and ICC of 0.517. However, LSJ displayed lower performance, with no metric reaching an ICC > 0.5 or an RMSE