Real-Time Pose Estimation and Body Language Classification Using Machine Learning

In the current research, we introduce a posture estimation-based real-time human body language classification system.The system records the user's movements using a webcam, uses Mediapipe's Pose solution to extract important body landmarks, and then feeds the information into a machine-learning model for classification.Using pose data, the model is trained to predict particular body language states.This method shows how computer vision and machine learning may be combined to recognize body language in real time, which has uses in security, healthcare, and human-computer interaction.