Human Behaviour Recognition is a technology that analyzes and identifies patterns in how people act, move, or interact with their surroundings. It uses data from cameras, microphones, wearable sensors, smartphones, and other devices, often combined with artificial intelligence and machine learning. The system examines movements, gestures, facial expressions, interactions, or activity patterns to recognize specific behaviours and generate meaningful information.
Human Behaviour Recognition is commonly used in healthcare, security, smart homes, retail, education, and human-computer interaction. In healthcare, it can support monitoring of patient activities and changes in daily behaviour. Its purpose is to automate observation, improve situational awareness, and enable responsive systems. By recognizing behavioural patterns, it can help identify unusual situations, personalize services, improve safety, and support more efficient decision-making.