Authors propose a novel model that creates actionable insights from human biometric data to improve security, healthcare services, consumer satisfaction, and user experience. This is accomplished by detecting human emotions using artificial intelligence techniques and a set of biosensors. Authors have built an optimization algorithm to reduce the cost and complexity of implementing human emotion detection systems by minimizing the needed number of input to decide an emotion with acceptable and tolerable error values.

Abeer is an innovator, social worker, and applied science professional with more than seven years of recent and relevant experience in the field of artificial intelligence, emotion recognition, and mood enhancement methods. Abeer holds a master degree in Electrical Engineering from Jordan University of Science and Technology.