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. Author manuscript; available in PMC: 2022 Feb 1.
Published in final edited form as: IEEE Trans Biomed Eng. 2022 Jan 21;69(2):678–688. doi: 10.1109/TBME.2021.3103201

Fig. 3.

Fig. 3.

Lower-limb joint kinematics computed with the OpenSenseRT system compared to optical motion capture. (A) Joint kinematics during walking at 1.25 m/s were computed in real-time at 30 Hz with the IMU system for five subjects. The error bands represent one standard deviation of the RMSE across all subjects. (B) Joint kinematics during running at 4.0 m/s were computed offline (represented with the dash-dot line) at 100 Hz with the IMU system for a single subject. The error bands represent one standard deviation of the RMSE across all gait cycles for the single subject. Running requires a faster computation rate than the IMU system can perform consistently in real-time, although it can be analyzed in real-time over short bursts by using all cores.