A Naïve and Fast Human Computer Interface Controllable for the Inexperienced - a Performance Study

We present a human computer interface (HCI) which can be prepared in less than five minutes and reaches a high accuracy with naive users. With additional learning the success rate increases drastically. Using the EOG for control of a cursor we show how the interface between man and machine can be established quickly. Off the shelf hardware components were used for the setup, including an already approved amplifier for human use. The graphical user interface with optical and acoustical feedback consisted of self developed software. With the proposed interface we reached a maximum bit rate of 57.7 bit/min with untrained users.

[1]  Thilo Hinterberger,et al.  BRAIN-COMPUTER INTERFACES FOR VERBAL COMMUNICATION , 2004 .

[2]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[3]  J.R. LaCourse,et al.  An eye movement communication-control system for the disabled , 1990, IEEE Transactions on Biomedical Engineering.

[4]  R. Fazel-Rezai,et al.  A Low Cost Human Computer Interface based on Eye Tracking , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[6]  Junichi Hori,et al.  Development of EOG-Based Communication System Controlled by Eight-Directional Eye Movements , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Gabriel Curio,et al.  Brain-computer communication and slow cortical potentials , 2004, IEEE Transactions on Biomedical Engineering.

[8]  Gerwin Schalk,et al.  A brain–computer interface using electrocorticographic signals in humans , 2004, Journal of neural engineering.