Islam, Riasat and Al-Amri, Mohammad (2020). MoJoXlab. Open Research Data Online.




MoJoXlab is a MATLAB based custom motion capture analysis software toolkit whose aim is to produce freely available motion capture analysis software to be used by anyone interested in generating lower limb joint kinematics waveforms using any suitable wearable inertial measurement units (IMUs).

It can generate joint angles of Ankle, Hip and Knee joints in Sagittal, Frontal and Transverse (not available for Ankle joint) planes for different functional tasks such as walking, squatting, and jumping. The joint kinematics for MoJoXlab is based on Joint Coordinate System (JCS) as proposed by Grood and Suntay. MoJoXlab takes sensor orientation data in quaternions as input and outputs joint angles in degrees. The algorithm considers a static calibration step, where sensor data is captured for calibration purposes while the participant maintains a standing pose. This calibration step is then used to calculate the joint angles for the dynamic phase of the motion.

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