Suchergebnisse - Human Performance

An, R. “… Artificial intelligence (AI) has rapidly transformed from a promising computational tool to a central force in global healthcare, exercise science, and human performance research.1 While once conceptual, its applications today are increasingly tangible—powering diagnostic tools, enhancing training personalization, guiding rehabilitation strategies, and informing ethical governance in sport.2 The integration of AI in health and sports science mirrors a broader digital health revolution, and this special topic offers a compelling snapshot of how AI is reshaping the landscape of patient care, athlete monitoring, and scientific inquiry.  …”

Thibault, G., Dixon, P. C., Pearsall, D. J. “… Conclusion: This analysis sheds light on the important parameters to consider when developing machine learning classifiers in the human activity recognition field. A surface classification tool could provide useful quantitative feedback to athletes and coaches in terms of running technique effort on varied terrain surfaces, improve training personalization, prevent injuries, and improve performance. …”

Genç, A., Aydin, G. R., Kasap, M., Özkan, A., Rakhymzhanov, A., Gürcan, H. H., Güllü, S., Demirhan, B. “… Nonetheless, to ensure that AI-assisted training plans provide safe, evidence-based, and individualized content, the involvement of qualified human expertise remains essential. …”

Xiao, S., Liu, J.

Rana, M., Mittal, V. “… Traditional gait analysis methods are performed visually, which can be biased due to subjectivity and human error.  …”

Alt, T., Komnik, I., Ryan, L. J., Clark, K. P.

Ohnuma, H., Kumano, A., Chiba, Y., Yoshimoto, T.

Shen, Y., Liu, J., Li, J., Jing, H., Li, L.

Zhang, C., Fan, Z., Kang, Y. “… Wearable sensing systems are often constrained by the number of available signal channels: expanding the sensor number typically improves human motion monitoring but drives up hardware complexity.  …”

Aiman, M. H., Arshad, N. W., Erizal, L. R., Hamid, R., Karim, R. A., Rasli, M. A. M., Majid, M. K. B. A. “… The system integrates OpenCV and MediaPipe to detect human presence, estimate body height, and extract key joint positions for accurate body form evaluation.  …”

Baldoin, E., Zullo, G., Carraretto, P., Koptyug, A., Pavan, P. G., Petrone, N. “… Experimental and numerical trials play a key role, utilizing anthropomorphic test devices and human head numerical models to study impact scenarios.  …”

Smith, L., Jones, P. “… A device was used rather than human participants to ensure controlled and repeatable impacts.  …”

Martín Gómez, R., Kamstra, H., Allevard, E., Pollet-Villard, L., Cotter, J., Lamb, P. “… Movesense devices are open-source, low-cost, programmable with Bluetooth capability, offering applications from performance analysis to injury monitoring. Within a wider project aimed at developing comprehensive and freely-available assessment of human movement using wearable devices, this study aims to evaluate the validity and reliability of Movesense Inertial Measurement Units (IMUs) and novel algorithms for measuring step time and its right-left asymmetry during running.  …”

Oliva-Lozano, J. M., Vidal, M., Yousefian, F., Cost, R., Gabbett, T. J.

Raj, A.

Monteiro, A. S. M., Azevedo, R. M. S., Zacca, R., Ogonowska-Slodownik, A., Buzzachera, C. F., Vilas-Boas, J. P., Fernandes, R. J.

Gong, M., Liu, Y., Cao, Z., Gao, B.

Gleadhill, S., Nagahara, R. “… This study considers asymmetry during dynamic human movement as any biomechanical differences between left and right sides of the body.  …”

Moura, F. A., Caetano, F. G., da Silva Torres, R. “… We also address technological advances for obtaining data from human pose estimation and the main validation or quality analysis studies of each method.  …”

Huang, S.-C., Pierce, T., Lin, Y.-A., Loh, K. J. “… These findings highlighted the potential of the system as an effective tool for human performance analysis in sports and biomechanics applications. …”