An Intelligent Real-Time Communication Assistant for the Disabled

This research focuses on developing a real-time communication assistant for the disabled utilizing the biometric information of their facial features. Our targeted community is that with communication disabilities. While communicating effectively is a problem for this community, they have facial expressions and incomprehensible speech that can be interpreted to associate with their needs or requests. Thus, we utilize the real-time face detection technique to capture their facial expressions. This paper focuses mainly on discussion of the performance of real-time biometric information detection in our prototype, the EmoCom. EmoCom can also serve as a monitoring system to track the activities of the disabled with limited physical mobility.