论文信息 - A practical EMG-based human-computer interface for users with motor disabilities.

A practical EMG-based human-computer interface for users with motor disabilities.

In line with the mission of the Assistive Technology Act of 1998 (ATA), this study proposes an integrated assistive real-time system which "affirms that technology is a valuable tool that can be used to improve the lives of people with disabilities." An assistive technology device is defined by the ATA as "any item, piece of equipment, or product system, whether acquired commercially, modified, or customized, that is used to increase, maintain, or improve the functional capabilities of individuals with disabilities." The purpose of this study is to design and develop an alternate input device that can be used even by individuals with severe motor disabilities. This real-time system design utilizes electromyographic (EMG) biosignals from cranial muscles and electroencephalographic (EEG) biosignals from the cerebrum's occipital lobe, which are transformed into controls for two-dimensional (2-D) cursor movement, the left-click (Enter) command, and an ON/OFF switch for the cursor-control functions. This HCI system classifies biosignals into "mouse" functions by applying amplitude thresholds and performing power spectral density (PSD) estimations on discrete windows of data. Spectral power summations are aggregated over several frequency bands between 8 and 500 Hz and then compared to produce the correct classification. The result is an affordable DSP-based system that, when combined with an on-screen keyboard, enables the user to fully operate a computer without using any extremities.

[1] H. Jasper,et al. Electrocorticograms in man: Effect of voluntary movement upon the electrical activity of the precentral gyrus , 1949 .

[2] Shumin Zhai,et al. An isometric tongue pointing device , 1997, CHI.

[3] W. J. Lynch,et al. Hardware update: The Eyegaze Computer System™ , 1994 .

[4] Gert Pfurtscheller,et al. Brain-computer interface: a new communication device for handicapped persons , 1993 .

[5] H. Jasper,et al. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[6] J. Wolpaw,et al. Multichannel EEG-based brain-computer communication. , 1994, Electroencephalography and clinical neurophysiology.

[7] John W Morrison. Eye Movements, Vision and Behavior , 1975 .

[8] Douglas Fisher,et al. Outcomes for students with severe disabilities: Case studies on the use of assistive technology in inclusive classrooms , 1996 .

[9] C. Riviere,et al. Effects of age and disability on tracking tasks with a computer mouse: accuracy and linearity. , 1996, Journal of rehabilitation research and development.

[10] Mathew Alpern,et al. Eye Movements, Vision and Behavior , 1975 .

[11] G Pfurtscheller,et al. EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components. , 1995, Medical progress through technology.