Facial Expression to Text Converter

The main purpose of this research is to enhance the communication of the disabled community. The authors of this chapter propose an enhanced interpersonal-human interaction for people with special needs, especially those with physical and communication disabilities. Existing communication assistive technology requires the use of costly hardware; hence, the need for an affordable communication assistive technology for paralyzed people to communicate. So, this study introduces an affordable and real-time assistive communication technology for paralyzed people This assistive communication technology uses Dlib for the detection of face landmarks, machine learning algorithms for the classification of facial expressions and synthesis of text and speech for the assistive communication technology to communicate. Various facial expressions—are linked to the predefined communication sentences to enable meaningful communication for paralyzed people.