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  1. 1

    Artificial intelligence-enhanced 3D gait analysis with a single consumer-grade camera

    Guo, L., Chang, R., Wang, J., Narayanan, A., Qian, P., Leong, M. C., Kundu, P. P., Senthilkumar, S., Garlapati, S. C., Yong, E. C. K., Pahwa, R. S.
    Published in Journal of Biomechanics (2025)
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  2. 2

    Automatic detection of faults in simulated race walking from a fixed smartphone camera

    Suzuki, T., Takeda, K., Fujii, K.
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  3. 3

    Markerless motion capture: What clinician-scientists need to know right now

    Ito, N., Sigurðsson, H. B., Seymore, K. D., Arhos, E. K., Buchanan, T. S., Snyder-Mackler, L., Grävare Silbernagel, K.
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  4. 4

    Improving accuracy of real-time positioning and path tracking by using an error compensation algorithm against walking modes

    Gong, J., Li, Z., Chen, M., Wang, H., Hu, D.
    Published in Sensors (2023)
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  5. 5

    Level of agreement between the MotionMetrix system and an optoelectronic motion capture system for walking and running gait measurements

    Jaén-Carrillo, D., García-Pinillos, F., Chicano-Gutiérrez, J. M., Pérez-Castilla, A., Soto-Hermoso, V., Molina-Molina, A., Ruiz-Alias, S. A.
    Published in Sensors (2023)
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  6. 6

    Automatic body segment and side recognition of an inertial measurement unit sensor during gait

    Baniasad, M., Martin, R., Crevoisier, X., Pichonnaz, C., Becce, F., Aminian, K.
    Published in Sensors (2023)
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  7. 7

    Validity of spatio-temporal gait parameters in healthy young adults using a motion-sensor-based gait analysis system (ORPHE ANALYTICS) during walking and running

    Uno, Y., Ogasawara, I., Konda, S., Yoshida, N., Otsuka, N., Kikukawa, Y., Tsujii, A., Nakata, K.
    Published in Sensors (2023)
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  8. 8

    The pace pattern of the men`s 1500 m race with different levels

    Yang, Y., Enomoto, Y.
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  9. 9

    Speed and slope effects on metatarsophalangeal joint kinematics in running

    Willwacher, S., Bill, K., Robertz, L., Kurz, M., Kommik, I., Potthast, W., Mai, P.
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