What Motivated Us

The primary motivation is to effectively identify and categorize the emotions displayed in photos so that data can be used in various human habitat environments. This requires accurately detecting feelings like joy, sorrow, anger, fear, surprise and disgust. In human-computer interactions we are aiming to achieve customized responses from the system based on identified emotions, the goal is to improve the user experience and in turn, make interactions more believable and sympathetic. This would entail changing the behaviour of the system in response to the user's facial expressions and emotions. We aim to improve human-robot collaboration by allowing robots to recognize and react to human emotions. We also seek to determine an emotion's power or intensity by classifying it. In some situations, being able to discriminate between mild and strong emotions can be crucial for one’s well-being. 

In summary, we want to accurately identify and respond to human emotions in visual data. Our thesis project aims to develop human-computer interaction, monitor mental health better, gain customer insights, personalize user experiences and advance fields like education, healthcare and research.