Classifies football players into Attacker, Midfielder, Defender roles from PAMAP2 IoT wearable data. LSTM, BiLSTM, and TCN-Transformer architectures. 99.24% accuracy, LOSO 98.89%±0.42%. SHAP sensor attribution per role.
iot activity-recognition pytorch transformer lstm data-analytics football tcn bilstm sports-analytics shap positional-analysis football-analytics wearable-sensors pamap2 loso player-role-classification
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Updated
Apr 21, 2026 - Jupyter Notebook