Khalifa University has filed a provisional patent application for a technology that can assess the general mood of a crowd. The researchers developed a computer-implemented method for crowd emotion recognition where a video feed of the crowd is processed through algorithms that analyse the movements and postures of the crowd, to determine if they are bored, aggressive, joyful, disgusted, fearful, surprised, sad, proud or angry. The research team focused their innovation on using machine learning and artificial intelligence-related technologies to analyse both the group's movement patterns, and the postures and behaviours of individuals in the crowd, to assess the crowd's general mood. The lead inventor on the patent filing, Sohailah Alyammahi, developed the solution with assistant professor of Electrical and Computer Engineering Dr. Harish Bhaskar, EBTIC Chief Researcher Dr. Dymitr Ruta, and Associate Professor of Professor of Electrical and Computer Engineering Dr. Andrzej Stefan Sluzek. The new technology has intended applications in the security and the video game industries.