Human Activity Recognition

Human Activity Recognition (HAR) is an important branch of time series analysis, aimed at recognizing and classifying various human activities through sensor data. Its core objective is to use machine learning and data mining techniques to extract features from continuous time series data, achieving accurate differentiation between different activity states. HAR has broad application value in health monitoring, smart wearable devices, smart homes, and human-computer interaction, enhancing users' quality of life and the service efficiency of systems.