Investigations of multimodal emotion recognition using deep learning techniques

Abstract

Human emotions are essential to our lives, profoundly influencing newlineour mental functions, behaviours, and social bonds. These emotional newlineresponses are crucial in guiding decision-making skills, building interpersonal newlinerelationships, and overall emotional health. Emotions are intricate and varied newlineelements of human life, encompassing many personal experiences that newlineexternal situations, internal thoughts, or physiological conditions can elicit. newlineThey cover many emotions, such as happiness, sadness, anger, fear, surprise, newlinedisgust, etc. Emotions are characterised by various factors, such as intensity, newlineduration, and valence, ranging from positive to negative experiences. newlineEmotion Recognition (ER) holds significant promise for newlineinfluencing various aspects of human life, from Human-Computer Interaction newline(HCI) to mental health, education, and business. The potential of newlineunderstanding human emotions could lead to groundbreaking advancements newlinein the development of empathetic and intelligent systems, enhancing life newlineexperiences, promoting well-being, and facilitating meaningful interactions newlinebetween people and technology. By enabling computers and virtual agents to newlineanalyze and respond appropriately to users emotions, emotion recognition newlinetechnology can make these systems more functional and intuitive. It offers newlinenew possibilities such as personalized experiences, tailored product newlinerecommendations, and empathetic support, inspiring a hopeful future for newlinehuman-computer interaction. newline