9th International Conference on ICT for Sustainable Development

Authors - Gobind Kumar, Mandeep Kaur, Ritika Dhaneshwar
Abstract - A facial emotion recognition system enables a computer to read people's feelings by looking at their faces. Due to enhancements in the field of facial expression detection, machines can now recognize and interpret a wide range of human emotions by merely examining the facial expressions in photos or videos. This technical innovation has enormous potential in various domains such as marketing research, security systems, and helping people with autism understand social signs. An in-depth review of recent advances in facial expression identification is presented in this paper, focusing specifically on the contributions of deep learning techniques in identifying both macro and micro-expressions. A critical analysis of various available datasets is also presented, contrasting datasets gathered in naturalistic environments with those acquired in controlled laboratory settings. The study also highlights the necessity for ongoing innovation in algorithm development and the incorporation of multimodal techniques to improve accuracy and resilience. The present study will facilitate researchers in exploring facial expression recognition as a technological instrument with a broad range of applications, and provide future directions for research.