Collection of awesome badges for programmers

Three-class football player fatigue prediction from PAMAP2 wearable IoT data. Karvonen heart rate labeling, SMOTE balancing, LOSO cross-validation, personalized Random Forest. 97.96% LOSO accuracy + coach substitution-alert dashboard.

GoldGorilla is bespoke Selective Forwarding Unit (SFU) designed to work with GreatApe.

基于 PPG+EDA 多模态信号的轻量级可穿戴情感状态检测系统 | WESAD | 1D-CNN 三分类 | LOSO | React Dashboard

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.