Assistance methods and analysis based on facial expression recognition for people with disabilities

In recent years, facial recognition technologies have demonstrated significant potential for assisting people with disabilities. How to accurately predict facial recognition for people with disabilities has always been a research hotspot. This paper reviews the current development of assistance methods based on facial expression recognition for people with disabilities. By summarizing relevant technological principles, application scenarios, and possible challenges in the future, this paper explores the possibilities and limitations of facial expression recognition technologies. It comprehensively analyzes relevant literature and summarizes design concepts for facial expression recognition technologies and assistance systems tailored to people with disabilities, as well as physiological differences in certain special groups. Furthermore, it examines the optimization and future directions for addressing scenario adaptation issues of facial recognition from the perspectives of current cutting-edge technologies and research, with the ultimate aim of improving the living experience of people with disabilities. It also provides a reference for enhancing the efficiency and feedback of assistance efforts.