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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

TABLE I.

Comparison of wearable motion capture systems that compute real-time kinematics

System Number of sensors (N) Computation frequency (Hz) IMU Cost (USD) Validated kinematics (Y/N) Portable Computation (Y/N) Open-source (Y/N) Battery life (hours)
OpenSenseRT 1–14 90–8 ISM330DHC 100+20*N Y Y Y 6.5
Kong, et al. [4] 6 (legs) 200 Custom N/A N N N N/A
Zhou, et al. [12] 3 (arm) 100 Xsens M1b-9 N/A Y N N N/A
Xsens MVN Software [13] 1–15 60 Xsens MTw Awinda 32,000+ Y N N 6–8
Maruyama, et al. [14] 6 (legs) 60 Xsens MTw Awinda 12,000+ Y N N 6–8
Pedalvatar [5] 12 50 Custom Laptop+100*N N N N N/A
Miller, et al. [15] 2 (arm) N/A Custom 700 N N N N/A
Andrews, et al. [16] 15 60 Custom N/A Y N N N/A
Raghavendra, et al. [17] 3 (arm) 250 Custom Laptop+100+55*N N N N N/A
Zhang, et al. [18] 1–15 50 Custom N/A Y N N N/A
Sy, et al. [19] 6 (legs) 100 Xsens Awinda Mtx 12,000+ Y N Y 6–8