Search Results - Human Movement

Huang, S.-C., Pierce, T., Lin, Y.-A., Loh, K. J. “…The objective of this study is to classify the types of boxing punches using machine learning algorithms that processed skin-strain time history measurements from a self-adhesive, elastic fabric, wearable sensor called Motion Tape. A human participant study was designed to capture movements during boxing training. …”

Kumar, S., Pradhan, P., Minu, T., Saini, P., Babu, T. S., Bagchi, A., Thapa, R.

Bourantanis, A. G., Nomikos, N. N., Nikolaidis, P. T., Yiannakopoulos, C. K., Aggelousis, N. G., Wang, W. W.

Tomin, M., Kmetty, Á., Molnár, Sz., Manó, S., Csernátony, Z. “…RESULTS: The comparison of different wrestling movements showed that executing the forward bridge technique had the highest possible head impact velocity with 5.94 m/s. …”

Abdul Razak, S. N., Muhamad, T. A., Meng, L. K., Abdul Rahim, M. R., Mohd Nor, M. A., Samsudin, H., Nawai, N. S.

Gryaznykh, A., Butakova, M., Grebenyuk, L., Kiseleva, M., Nasyrov, T., Kolokoltsev, M., Vorozheikin, A., Romanova, E., Bayankin, O., Kowalski, W., Tyupa, P.

Picone, A. D., Iona, T., Rigon, M., Aliberti, S.

Wasik, J., Mosler, D., Ortenburger, D., Góra, T., Cholewa, J.

Menzel, T., Potthast, W. “…Much development work and scientific research has been conducted in recent years in the field of detecting human activity and the measurement of biomechanical performance parameters using portable sensor technologies, so-called wearable systems. …”

Amerineni, R., Gupta, L., Steadman, N., Annauth, K., Burr, C., Wilson, S., Barnaghi, P., Vaidyanathan, R. “…Furthermore, although DTW is ostensibly an ideal choice for human movements experiencing non-linear variations, our results demonstrate deep learning fusion classifiers outperform DTW. …”

Tessari, A., Lugli, L., Nicoletti, R., Ricciardelli, P.

Khoroshukha, M., Griban, G., Terentieva, N., Tkachenko, P., Petrachkov, O., Semeniv, B., Otravenko, O., Dikhtiarenko, Z., Yeromenko, E., Khurtenko, O., Lytvynenko, A. “…International Journal of Human Movement and Sports Sciences…”

Chen, M. A., Spanton, K., van Schaik, P., Spears, I., Eaves, D. “…Overall, biofeedback via inertial sensors appears to be a potenttechnique for modifying human movement patterns in both experts and novices.This low-cost technology could be used to support training across sports, rehabilitation and human-computer interactions.…”

Vidranski, T., Otkovic, P., Tadijanov, D. Z.

Pecnikar Oblak, V., Karpljuk, D., Šimenko, J., Vodicar, J. “…The cognitive aim of our research of literature is problem the necessity of the inclusion of people with intellectual disabilities, which, according to the disability social model and human rights model, includes those who need more decision-making help in everyday activities. …”

Szczesna, A., Blaszczyszyn, M., Pawlyta, M.

Pedak, K., Bazaniov, B., Rannama, I.

Ma, Z., Meng, B., Wang, Z., Yuan, C., Liu, Z., Zhang, W., Peng, Z.

Lozhkina, M. B., Neupokoev, S. N., Krivoshchekov, S. G., Kapilevich, L. V.

Li, P.