Face-Machine Interface (FMI) for Communication of Patients with Amyotrophic Lateral Sclerosis (ALS)

Abstract

In this paper, a face-machine interface (FMI) technology is introduced as a new way of communication for patients with amyotrophic lateral sclerosis (ALS). We used surface electromyogram (EMG) and electrooculogram (EOG) to decode the intention of patients with ALS. Our preliminary experimental results demonstrated that the biomedical signals recorded from the human face can be successfully used for communication of the paralyzed.