Gyro-Mouse for the Disabled: 'Click' and 'Position' Control of the Mouse Cursor

  • Published : 2007.04.30


This paper describes a 'gyro-mouse', which provides a new human-computer interface (HCI) for persons who are disabled in their upper extremities, for handling the mouse-click and mouse-move function. We adopted the artificial neural network to recognize a quick-nodding pattern of the disabled person as the gyro-mouse click. The performance of our gyro-mouse was evaluated by three indices that include 'click recognition rate', 'error in cursor position control', and 'click rate per minute' on a target box appearing at random positions. Although it turned out that the average error in cursor positioning control was 1.4-1.5 times larger than that of optical mouse control, and the average click rate per minute was 40% of the optical mouse, the overall click recognition rate was 93%. Moreover, the click rate per minute increased from 35.2% to 44% with repetitive trials. Hence, our suggested gyro-mouse system can be used to provide a new user interface tool especially for those persons who do not have full use of their upper extremities.


  1. C. Guger, A. Schlogl, D. Walterspacher, and G. Pfurtscheller, 'Design of an EEG-based brain-computer interface (BCI) from standard components running in real-time under windows,' Biomedizinische Technik, vol. 44, pp. 12-16, 1999
  2. J. R. Millan, A. Hauser, and F. Renkens, 'Adaptive brain interfaces-ABI: Simple features, simple neural network, complex brain-actuated devices,' Proc. of the IEEE International Conference on Digital Signal Processing, vol. 1, pp. 297-300, 2002
  3. C. Ming and G. Shangkai, 'An EEG-based cursor control system,' Proc. of the 1st Joint BMES/EMBS Conf, Atlanta, USA, pp. 669, Oct. 1999
  4. R. Barea, L. Boquete, M. Mazo, and E. Lopez, 'System for assisted mobility using eye movements based on electrooculography,' IEEE Trans. Neural Sys. Rehab. Eng., vol. 10, pp. 209-218, 2002
  5. P. A. Dimattia, F. X. Curran, and J. Gips, 'An eye control teaching device for students without language expressive capacity,' EagleEyes, Edwin Mellen Press, Lampeter, 2001
  6. S. H. Kwon and H. C. Kim, 'EOG-based glasses-shape wireless mouse for the disabled,' Proc. of the 1st Joint BMES/EMBS Conf., Atlanta, USA, pp. 592, Oct. 1999
  7. L. Chen, F. T. Tnag, W. H. Chang, M. K. Wong, Y. Y. Shih, and T. S. Kuo, 'The new design of infrared-controlled human-computer interface for the disabled,' IEEE Trans. Rehab. Eng., vol. 7, pp. 474-481, 1999
  8. D. G. Evans, R. Drew, and P. Blenkhorn, 'Controlling mouse pointer position using an infrared head-operated joystick,' IEEE Trans. Rehab. Eng., vol. 8, pp. 107-117, 2000
  9. Y. L. Chen, 'Application of tilt sensors in human-computer mouse interface for people with disabilities,' IEEE Trans. Neural Sys. Rehab. Eng., vol. 9, pp. 289-294, 2001
  10. M. Betke, J. Gips, and P. Fleming, 'The camera mouse: Visual tracking of body features to provide computer access for people with severe disabilities,' IEEE Trans. Neural Sys. Rehab. Eng., vol. 10, pp. 1-10, 2002
  11. R. B. Reily and M. J. O'Malley, 'Adaptive noncontact gesture-based system for augmentative communication,' IEEE Trans. Rehab. Eng., vol. 7, pp. 174-182, 1999
  12. K. Doi, H. Higa, I. Nakamura, N. Hoshimiya, and Y. Handa, 'A study on method of control commands for functional electrical stimulation system using head movement,' Technical Report of IEICE, vol. 6, pp. 43-48, 1999
  13. Y. W. Kim, 'Development of headset-type computer mouse using gyro sensors for the handicapped,' Electronics Letters, vol. 38, pp. 1313-1314, 2002
  14. Y. W. Kim and J. H. Cho, 'A novel development of headset-type computer mouse using gyro sensors for the handicapped,' Proc. of Ann. Int. IEEE-EMBS Special Topic Conf. Microtech. Medicine and Biology, pp. 356-359, 2002
  15. N. Furuse, T. Watanabe, R. Futami, N. Hoshimiya, and Y. Handa, 'Control command input system using residual motor function for motor disabled patients,' Japan. J. Med. Elect. Biol. Eng., vol. 37, pp. 30-38, 1999
  16. S. Esaki, Y. Ebisawa, A. Sugioka, and M. Konishi, 'Quick menu selection using eye blink for eye-slaved nonverbal communicator with video-based eye-gaze detection,' Proc. of the 19th Int. Conf IEEE/EMBS, Chicago, USA, pp. 2322-2325, Oct. 1997
  17. R. Jang, and E. Mizutani, 'Supervised learning neural networks,' Neuro-Fuzzy and Soft Computing, pp. 226-257, Prentice Hall, New York, 1997