Human Activity Recognition is a technology that identifies and classifies a person’s physical activities using data collected from cameras, wearable sensors, smartphones, or other devices. Machine learning and artificial intelligence algorithms analyze movement patterns, body positions, or sensor signals to determine activities such as walking, running, sitting, standing, or sleeping. The system converts raw sensor or visual information into meaningful activity information.
Human Activity Recognition is commonly used in healthcare, fitness tracking, assisted living, smart homes, security systems, and human-computer interaction. Its purpose is to understand human behavior automatically and support timely responses or personalized services. In healthcare, it can help monitor mobility and daily routines, while fitness applications use it to track exercise. By reducing the need for constant manual observation, it can improve monitoring efficiency and enable more responsive systems.
