This work introduces a new system to allow persons with motor disabilities to control remote devices and communicate with their environment. This system consists of a real-time data processing computer that analyzes biosignals like the electroencephalogram (EEG), electromyogram (EMG), electrooculogram (EOG) and a second computer that controls a smart home system, a robot, a TV, a webcam and social networks like Twitter and Facebook. The user can choose the input method that best suits his/her individual condition. A comparative study over 11 healthy subjects and different input methods showed best performance of EMG and mouse inputs, followed by EOG and EEG based inputs. However, the usability might change for disabled persons.
['Guenter Edlinger', 'Christoph Kapeller', 'Arnau Espinosa', 'Sergi Torrellas', 'Felip Miralles', 'Christoph Guger']
Multi-modal computer interaction for communication and control using EEG, EMG, EOG and motion sensors