A Sentence Speller Based on SSVEP Brain Computing Interface Using EEG

In recent years, brain and its functions have been studied extensively. The Locked in Syndrome (LIS) patients with severe disorders require smooth care by guardians or health professionals. However, it seems to be difficult for the care providers to continuously look after the patient due to their ineffective body movement and not to communicate verbally with real world. In the present study, a Sentence Speller has been developed for such patients based on Steady State Visual Evoked Potential (SSVEP). There have been existing research studies to enforce SSVEP speller applications which have worked on spelling the characters, words, cursor movement, and spelling of numerical values. In this study, a SSVEP based BCI has been verified to check whether it can be used in practical manner as Sentence Speller for paralyze patient communication. In order to affirm the usability of System interface, three Healthy participants have been invited for experimentations. All the Healthy participants have succeeded in providing commands to our Sentence Speller precisely. The average accuracy to perform a session has been reported 88.32% for each Healthy participant and the average time required to execute a command has been measured 14 bpm for each Healthy participant.