Abstract: A machine-learning (ML) based motion analysis and training method and systems are provided. The method includes acquiring data of measurements of kinematics of a user performing a task with his/her hands or arms; analyzing the data of measurements based on a machine-learning (ML) model to evaluate patterns of hand/arm movements of the user; and providing feedback and/or advice based on results of the analysis for improvement of skills of the hand/arm motions of the user. The analyzing the data of measurements includes data preprocessing for preparing raw data for analysis, feature engineering for creating relevant features from the raw data for training the ML model, model training for training the ML model based on the preprocessed data, model evaluating for assessing performance of the trained model based on predetermined evaluation metrics, hyperparameter tuning for fine-tuning the hyperparameters of the ML model to improve its performance, model validating, and model testing.