Input device for disabled persons using expiration and tooth-touch sound signals

This paper presents the realization of an input device for disabled persons, a hands-free man-machine interface using expiration and tooth-touch sound signals. In our research, the expiration signal was detected by a piezo film sensor array and the tooth-touch sound signal by a bone-conduction microphone. The piezo film sensor had two useful effects, piezoelectric and pyroelectric. Utilizing both these effects, we could detect vibration and temperature variation simultaneously. Thus, the duration and strength of expiration could be detected more accurately, minimizing the effect of interference from outside disturbance. The sensors also had added benefits, including being very light weight, small in size and of low-price. The device enabled disabled persons to dramatically extend the number of control channels hands-free by changing the strength and duration of expiration, in conjunction with the tooth-touch sound signal. We developed a novel method for separating the pyroelectric and piezoelectric signals from the original signal. We then designed the device using Hardware Description Language (VHDL) and applied it in a Field Programmable Gate Array (FPGA) chip. We tested our device in a Head Mounted Display (HMD) controller. Finally, we evaluated its performance using the following categories: input error rate, usability and input efficiency compared with a tooth-touch sound alone based input device.

[1]  K Kuzume,et al.  Hands-free man-machine interface device using tooth-touch sound for disabled persons , 2006 .

[2]  Grigori Evreinov,et al.  "Breath-Joystick" - Graphical Manipulator for Physically Disabled Users , 2000 .

[3]  Yvonne Tran,et al.  The mind switch environmental control system: Remote hands free control for the severely disabled , 2002 .

[4]  A. Searle,et al.  EEG-based system for rapid on-off switching without prior learning , 1997, Medical and Biological Engineering and Computing.

[5]  M. Mazo,et al.  System for assisted mobility using eye movements based on electrooculography , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[6]  J. Unsworth,et al.  Fortnightly review: Environmental control systems for people with a disability: an update , 1997, BMJ.

[7]  M P Barnes Switching devices and independence of disabled people , 1994, BMJ.

[8]  Koichi Kuzume A Character Input System Using Tooth-Touch Sound for Disabled People , 2008, ICCHP.

[9]  K. Nagata,et al.  Development of the assist system to operate a computer for the disabled using multichannel surface EMG , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  James Gips,et al.  Using EagleEyes—an electrodes based device for controlling the computer with your eyes—to help people with special needs , 1996 .

[11]  Stéphane Mallat,et al.  Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.