Search Results - Human Movement
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The effect of the menstrual cycle on the coordination variability of pelvic-hip rhythm during the roundhouse kick executed by female elite taekwondo players
Sajjadi, S. S., Aziminia, M., Abbasi, A., Tazji, M. K.Published in Research in Sport Medicine and Technology (2025)“…Introduction During the menstrual cycle, the body experiences fluctuations in sex hormones, which can affect performance and injury rates in women. In the integrated human body system, the coordination between joints and limbs influences each other and the ultimate goal of movement. …”
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Boxing punch detection and classification using motion tape and machine learning
Huang, S.-C., Pierce, T., Lin, Y.-A., Loh, K. J.Published in Sensors (2025)“…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. …”
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Developing an artificial intelligence system to analyse and evaluate performance technical kata movements in karate
Kadhim, E. J., Almayah, S. K., Aldewan, L. H. M., Ghazi, M. A.Published in Scientific Journal of Sport and Performance (2025)“…Kata, a fundamental component of karate, embodies a series of offensive and defensive movements performed in a structured pattern, showcasing artistic and technical prowess. …”
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Effects of backstep footwork patterns on ground reaction forces and leg stiffness during taekwondo roundhouse kicks
Park, H.Published in European Journal of Human Movement (2025)“…European Journal of Human Movement…”
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The effects of taekwondo practice on physical and cognitive variables in children and adolescents: a systematic review
dos Santos, A. O. B., dos Santos, L. L., de Souza Cordeiro, L., de Catsro, J. B. B. P., de Souza Vale, R. G.Published in European Journal of Human Movement (2022)“…European Journal of Human Movement…”
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FenceNet: fine-grained footwork recognition in fencing
Zhu, K., Wong, A., McPhee, J.Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)“…BiFenceNet, a variant of FenceNet that captures the "bidirectionality" of human movement through two separate networks, achieves 87.6% accuracy, outperforming JLJA. …”
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The effects of back-step footwork on taekwondo roundhouse kick for the counterattack
Park, H., Jung, T.Published in European Journal of Human Movement (2020)“…European Journal of Human Movement…”
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Validation of a unique boxing monitoring system
Menzel, T., Potthast, W.Published in Sensors (2021)“…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. …”
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Fusion models for generalized classification of multi-axial human movement: Validation in sport performance
Amerineni, R., Gupta, L., Steadman, N., Annauth, K., Burr, C., Wilson, S., Barnaghi, P., Vaidyanathan, R.Published in Sensors (2021)“…Furthermore, although DTW is ostensibly an ideal choice for human movements experiencing non-linear variations, our results demonstrate deep learning fusion classifiers outperform DTW. …”
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Use of IMU in differential analysis of the reverse punch temporal structure in relation to the achieved maximal hand velocity
Markovic, S., Kos, A., Vukovic, V., Dopsaj, M., Koropanovski, N., Umek, A.Published in Sensors (2021)“…Detecting the time of occurrence of events using IMUs is a new method for measuring motion synchronization that provides a new insight into the coordination of articulated human movements. Such application of IMU can provide additional information about the studied structure of rapid discrete movements in various sporting activities that are otherwise imperceptible to human senses.…”
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Video quality evaluation toward complicated sport activities for clustering analysis
Yang, W., Wang, J., Shi, J.Published in Future Generation Computer Systems (2021)“…Conventionally, many action recognition models are built upon the visual/semantic appearance of human body movements. Recently, due to the introduction of Microsoft Kinect, many skeleton-based human action understanding frameworks have been proposed. …”