Titlebook: Smartphone-Based Real-Time Digital Signal Processing; Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgal Book 2015 Springer Nature Switzerlan

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timally when tasked with analyzing the most complex conventional roles such as midfielders, wingers, and forwards. Lastly, we show that the combinations of the 12 common passing/receiving patterns can be used as a footprint to find players with similar passing/receiving styles. For instance, our mod

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Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgaldapt those algorithms with the aim of sacrificing as least as possible on accuracy while keeping costs low. The results are promising: our system yields significantly better accuracy than a standard deep learning based tracking model at the fraction of its cost. In fact, at a cost of $2.4 per match

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Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgal algorithms could classify the techniques used with .86% accuracy. The accuracy of technique classification was improved even further by applying hierarchical classification, classifying techniques separately for each limb. Only 10% of the dataset was required as training set to approach the observe