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  1. 1

    Horse gait analysis using wearable inertial sensors and machine learning

    Rana, M., Mittal, V.
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  2. 2

    Investigation of supervised machine learning for IMU-based swimming activity recognition

    Aram, S., Thompson, I. M., Hudson, D. A., Banks, J.
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  3. 3

    Evaluating the influence of sensor configuration and hyperparameter optimization on wearable-based knee moment estimation during running

    Höschler, L., Halmich, C., Schranz, C., Koelewijn, A. D., Schwameder, H.
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  4. 4

    Evaluating agreement between a high-g and low-g accelerometer for measuring tibial acceleration across a range of running velocities

    Wong, J., Wyatt, H. E., Whatman, C., Cross, M. R., Yang, D., Sheerin, K.
    Published in Sports Biomechanics (2025)
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  5. 5

    Comparison of an IMU- and magnet timing gate- based system and an opto-electronic device for analysing running biomechanics

    Neuhaus, N., Breuker, K., Schmidt, M.
    Published in Sports Engineering (2025)
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  6. 6

    Predicting running vertical ground reaction forces using neural network models based on an IMU sensor

    Li, S., Pan, J., Wang, D., Yuan, S., Yang, J., Hao, W.
    Published in Sensors (2025)
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  7. 7

    Validity of smartwatch-derived estimates of lactate threshold heart rate and pace compared to graded exercise testing

    Lu, C., Cui, W., Zhu, Z., Wu, Y., Xing, Q., Pan, B., Shen, Y.
    Published in Frontiers in Physiology (2025)
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  8. 8

    Estimation of lower limb joint moments using consumer realistic wearable sensor locations and deep learning - finding the balance between accuracy and consumer viability

    Carter, J., Chen, X., Cazzola, D., Trewartha, G., Preatoni, E.
    Published in Sports Biomechanics (2025)
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  9. 9

    Effect of wearable fitness technology trust on sports injury prevention awareness and cross-sport athletic performance in pentathletes

    Ali, Y., Umair, M., Mahmood, A., Noor, A.
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  10. 10

    Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network

    Höschler, L., Halmich, C., Schranz, C., Fritz, J., Cigoja, S., Ullrich, M., Koelewijn, A. D., Schwameder, H.
    Published in Sports Biomechanics (2025)
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  11. 11

    Gait retraining in injured distance runners: A clinical review

    Bruneau, M. M., Gaudette, L. W., Heiderscheit, B. C., Napier, C., Posilkin, J., Rauh, M. J., Oldenburg, F., Wasserman, L., Tenforde, A. S., Hollander, K.
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  12. 12

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K.
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  13. 13

    Prediction of vertical ground reaction forces under different running speeds: integration of wearable IMU with CNN-xLSTM

    Chen, T., Xu, D., Zhou, Z., Zhou, H., Shao, S., Gu, Y.
    Published in Sensors (2025)
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  14. 14

    Wearable system applications in performance analysis of racerunning athletes with disabilities

    Shafizadeh, M., Davids, K.
    Published in Sensors (2024)
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  15. 15

    Simulating effects of sensor-to-segment alignment errors on IMU-based estimates of lower limb joint angles during running

    Potter, M. V.
    Published in Sports Engineering (2025)
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  16. 16

    Validity and reliability of running gait measurement with the ViMove2 system

    Mason, R., Barry, G., Hall, G., Godfrey, A., Stuart, S.
    Published in PLOS ONE (2024)
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  17. 17

    Win your race goal: A generalized approach to prediction of running performance

    Dash, S.,
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  18. 18

    High-intensity running during international male field hockey involves frequent changes of direction and repeated accelerations but seldom reaches sprint velocities

    Goods, P. S. R., Appleby, B., Scott, B. R., Peeling, P., Galna, B.
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  19. 19

    Validity and reliability of movesense hr+ ecg measurements for high-intensity running and cycling

    Martín Gómez, R., Allevard, E., Kamstra, H., Cotter, J., Lamb, P.
    Published in Sensors (2024)
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  20. 20

    Validity of current smartwatches for triathlon training: How accurate are heart rate, distance, and swimming readings?

    Jacko, T., Bartsch, J., von Diecken, C., Ueberschär, O.
    Published in Sensors (2024)
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