Automated Padel Tracking App Disagrees With Manual Coding in Amateur Case Study
A descriptive case study found that the automated tracking app Padmi displayed 15 percent fewer shots overall than manual observational ...
A descriptive case study found that the automated tracking app Padmi displayed 15 percent fewer shots overall than manual observational ...
A cross-sectional study of 298 Chinese undergraduates found that pose-derived kinematic features during wushu taolu routines were significantly associated with ...
Researchers developed a multi-stream graph convolutional network and dataset to classify 13 martial arts categories on edge hardware, demonstrating development ...
An analysis of elite women’s volleyball national teams identified three offensive-style clusters characterized by distinct match behaviors and performance predictors.
A new risk–reward analysis of over 3.3 million football passes shows that higher-risk passes do not necessarily produce greater expected ...
A new study of 500 elite throwing clips shows that modeling the four biomechanical phases of a throw reduces prediction ...
A meerkat-optimized gated recurrent unit model achieved 96.65 percent accuracy and an AUC of 0.97 in classifying table tennis skill ...
A new bibliometric analysis of 809 publications shows that research on artificial intelligence for predicting and preventing sports injuries grew ...
A benchmark study combining adaptive background modeling, four-frame differencing and occlusion-aware tracking reached 92.9% mAP@0.5 on ISSIA-CNR and 93.1% on ...
A research team has enhanced YOLOv8-Pose with a StarNet backbone, motion-relevant attention, and a composite keypoint loss to jointly classify ...
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© 2025 Scienmag - Science Magazine