A Computational Vision on Human Emotion
Late 20th century Artificial Intelligence research treated emotion and cognition as antithetical entities. Recent neurological studies, however, suggest that the two are closely related. Emotion plays a critical role in decision making. Studies also have established that neurological deficits in emotion processing lead to deficiency in decision making. These findings have invoked a new interest in the modeling of emotion in artificially intelligent systems. The Dependable Computing and Networking Lab (DCNL) at ISU, led by Dr. Arun Somani, is researching human emotion modeling using Computer Vision. The study will engender novel ideas to adapt the existing emotion-modeling framework in the research realm to the needs of the Human and Object Detection project in the DCNL group. We believe that this study could also lead to new and innovative models of human emotion. Computational tools such as OpenCV and MATLAB will be used to test and validate new models and adaptations. Using machine learning methods, the reliability and efficacy of the new methods will also be evaluated.