Application of Machine Learning for Disabled Persons

Communication with the disabled person who is deaf-mute person is very difficult. Even though sign language is crucial for deaf-mute persons to communicate with other people and with themselves, regular people still pay it little attention. Normal people often overlook the value of sign language unless they have family members who are deaf-mute. Using sign language interpreters is one way to communicate with those who are deaf-mute. However, hiring sign language interpreters can be expensive. A model that can automatically convert their motions into words can be used as a low-cost replacement for the interpreters. This chapter gives the description about the development of a model which helps automatic detection of actions with real time using the Mediapipe model and then with the help of sign language conversion model it translates into the textual format.