| AdaBoost | Adaptive Boosting |
| ANN | Artificial Neural Network |
| Bi-LSTM | Bidirectional Long Short-Term Memory |
| BP-ANN | Back-Propagation Artificial Neural Network |
| CLN | Convolutional Long Short-Term Memory Network |
| CNN | Convolutional neural networks |
| DL | Deep Learning |
| DLF | Decision-level fusion |
| DLNN | Deterministic Learning Neural Network |
| DNN | Deep Neural Networks |
| DT | Decision Tree |
| EC | Ensemble classifier |
| ECG | Electrocardiography |
| EEG | Electroencephalography |
| EMG | Electromyography |
| ET | Extremely randomized Trees |
| Ext | Exterior sensor |
| GB | Gradient Boosted Tree |
| GMM | Gaussian Mixture Model |
| GMU | Gated Multimodal Unit |
| GRU | Gated Recurrent Unit |
| HBU | Hybrid network of Bi-LSTM and Unidirectional LSTM |
| HOG | Histogram of Oriented Gradients |
| IMU | Inertial Measurement Unit |
| KNN | K-Nearest Neighbors |
| LR | Logistic Regression |
| LSTM | Long Short-Term Memory |
| ML | Machine Learning |
| MLP | MultiLayer Perceptron |
| MLR | Multinomial Logistic Regression |
| MMTM | MultiModal Transfer Module |
| MNN | Multi-layer Neural Networks |
| MNR | Multinomial Regression |
| MSD | Musculoskeletal Disorders |
| NB | Naïve Bayes Classifier |
| NC | Nearest Centroid |
| NMQ | Nordic Musculoskeletal Disorders Questionnaire |
| NN | Neural Network |
| OO | Optimized Optuna |
| OSHA | Occupational Safety and Health Administration |
| PNN | Probabilistic Neural Network |
| REBA | Rapid Entire Body Assessment |
| RF | Random Forest |
| RNN | Recurrent Neural Network |
| RULA | Rapid Upper Limb Assessment |
| ST-GCN | Spatial Temporal Graph Convolutional Networks |
| SVM | Support Vector Machine |
| SVR | Support Vector Regression |
| WMSD | Work-Related Musculoskeletal Disorders |