Wearable Activity Recognition

Wearable Activity Recognition is a technology that uses time-series data collected from wearable devices to automatically identify and classify users' daily activities through machine learning and signal processing techniques. Its aim is to enhance the accuracy and real-time performance of activity monitoring, providing support for health management and behavioral analysis. This technology has significant application value in fields such as healthcare, sports training, and lifestyle assistance.