HUMAN ACTIVITY RECOGNITION USING MACHINE LEARNING

Human activity recognition and classification are among the most critical challenges in the field of computer science. The abilityto detect and interpret human actions is fundamental to the development of intelligent video systems. These systems play asignificant role in a wide range of applications, including human-computer interaction, security surveillance, and healthcaremonitoring.Despite substantial advancements, accurately identifying human activities in diverse and dynamic environments remains acomplex issue. This article explores current research in human activity recognition, focusing on various cognitive andcomputational approaches.