E-MOUSE: EYE BALL CONTROLLED HUMAN COMPUTER INTERACTION DEVICE

ABSTRACT

                       We present a mouse controlled by facial movements. An individual can navigate the mouse pointer based on the direction in which his eyes are looking. The clenching of the jaw controls the “click” of the mouse pointer. Physiological signals are acquired from the face via electrodes and processed in the hardware portion of the design: two EOGs and one EMG. The EOG for vertical detection has a frequency response of 0.0154 – 6.82 Hz and a gain of around 19,200. The EOG for horizontal detection has a frequency response of 0.014 – 6.6 Hz and a gain of around 18,560. The EMG has a frequency response of 106 - 2600 Hz and a gain around 840. After signal processing in the hardware, the signal is analyzed with LabVIEW data acquisition software. The user interface created on LabVIEW’s virtual instrument displays a simulation of a mouse pointer on an XY coordinate system and 9 LEDs.

            

1.INTRODUCTION                                                                                                           Many physically disabled individuals are deterred from using computers due to their inability to utilize a hand-controlled mouse.  However, if directional discrimination of a mouse pointer can be achieved, these individuals would be able to take on the functions of a mouse without the use of hands.  The theory of biopotentials and electrodes is described to provide a basis for understanding how signals are acquired from the human body and why the electrodes are placed in specific locations near the eye. 

                An electro-oculogram (EOG) biopotential amplifier is designed and developed in order to obtain a physiological signal due to eye movements and to use this signal to control a mouse pointer. The choice of a biopotential amplifier over other possible methods was selected based on the ease of usage and the low cost of production.  The EOG biopotential amplifier is capable of detecting frequencies between 0.01-10 Hz, the range at which most ocular movements operate. Similar to the EOG, the EMG is also a biopotential amplifier, but it should detect frequencies between 70 – 5000 Hz, the rate at which action potentials are fired during muscle contraction in the jaw.  Since the EOG signal is in the microvolt range and the EMG signal in the millivolt range, it is challenging to obtain a strong, usable signal.  Therefore, sufficient gain is necessary to analyze the signal.  

            The software choice for data acquisition is LabVIEW, selected for its vast graphical capabilities and flexibility in programming.  LabVIEW is used as a graphical interface to the user by providing a simulation of the mouse pointer on a graph and by indicating a mouse click on a LED.  

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            REFERENCES

1.Johnson, Gary W.  LabVIEW Graphical Programming, Practical Application in Instrumentation and Control.  New York:  McGraw-Hill, 1994.    

2.LabVIEW Graphical Programming for Instrumentation, Data Acquisition Basics Manual.  Austin, TX: National Instruments Corporation, 1996.

3.Webster, John G.  Medical Instrumentation, Application and Design.  Third Ed.  NewYork: John Wiley & Sons, 1998.

4.http://en.wikipedia.org/wiki/Electrooculography

5.http://www.emedicinehealth.com/electromyography_emg/article_em.htm

6.http://www.engineering.ucsb.edu/~tmems/daqboard.htm

7. EOG guidance of a wheelchair using neural networks
Barea, R.; Boquete, L.; Mazo, M.; Lopez, E.; Bergasa, L.M.
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Volume 4, Issue , 2000 Page(s):668 - 671