This inspired to build Synaspeak by detecting neural electrical impulses associated with eye blinks and taking input from the user in the form of morse code and then translating it to english alphabets.Such an approach ensures faster input speeds and also brings down the overall cost of the AAC device to $100. There have been few AAC devices built on top of EEG headsets which uses Rapid Serial Visual Presentation techniques such as the commonly used matrix speller based input method, but these devices often requires the user to wear large number of EEG electrodes and tend to be slow due to the usage of a matrix speller based technique.There has been a similar approach to build an AAC device using Eye blinks, the work relies on the usage of IR switches to accomplish the task.Using IR switches can make the AAC device low cost, but on the other hand it introduces unreliable data due to the interference of a background IR source with the IR switch, moreover in such a device a natural eye blink would trigger actions that the user unintended to make.įig 1.0 : Author wearing the EEG headset with the electrode placed in front of the forehead to detect eye blinks.In the background we see the Python program and representation of english alphabets in morse code. Electroencephalography is a technique used to detect the electrical impulses formed in the brain.In the early days it was used for monitoring a person's health for signs of epilepsy or any head injury.Electroencephalography enabled the development of Brain Computer Interfaces (BCI) based AAC devices, but these devices are expensive costing thousands of dollars and are out of reach of the common population due to its high cost.Moreover, these BCI based AAC devices are bulky and difficult to carry around, making them quite a hassle for a disabled person to use.

Eeg headset