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Image password lock system by tracing position information of the pupil

Lin C. S., Lay Y. L., Lin C. C., Chiu C. C., Yeh M. S.

Optica Applicata

2009

Vol. 39, nr 1

149--160

In this paper, a new method for an improved image password lock system by tracing position information of the pupil is described. The present technology relates to an efficient auto-detecting function, and in particular, to an image password lock system, which can provide the benefits of a novel password input mode without any contact. In this system, a PC camera device detects a movable target object to read a dynamic eye image data. Moreover, the dynamic eye image data has a predetermined shooting range set to be a whole-region image, and the whole-region image has a central region and a plurality of specific password regions. A target eye image is displayed by a display device, and then processed by an image processing device, thereby calculating a center coordinate point of the target eye image in the dynamic image data, compiling a password constituted by a movement position of the target object image, displaying the password, and validating the password. Therefore, the benefits of a novel password input mode without any contact, an efficient anti-theft function, are provided.

Eye-controlled virtual keyboard using a new coordinate transformation of long and narrow region

Lin C. S., Lin C. H., Lay Y., Yeh M. S., Chang H. C.

Optica Applicata

2008

Vol. 38, nr 2

481-489

In this paper, we present the development of an eye-tracking and virtual keyboard control system using a PC camera.The image inputs at the channel of the PC camera directly and we can control the cursor of the screen through the sequential image processing. Three-section-correction metod is used to correct the eye controlled system. The pupil center position corresponding to the gaze spot on the screen is used to calculate the mouse's motion coordinate on the screen with New coordinate transform equations for the long and narrow region. With the combination of the new eye-tracking and control algorithms, the sensitivities and operations of these systems would be improved greatly.

Powered wheelchair controlled by eye-tracking system

Lin C. S., Ho C.W., Chen W.C., Chiu C.C., Yeh M.S.

Optica Applicata

2006

Vol. 36, nr 2-3

401-412

In this paper, we use the optical-type eye tracking system to control powered wheelchair. The userís eye movements are translated to screen position using the optical-type eye tracking system. The pupil-tracking goggles with a video CCD camera and a frame grabber analyzes a series of human pupil images when the user is gazing at the screen. A new calibration algorithm is then used to determine the direction of the eye gaze in real time. We design an interface with nine command zones to control powered wheelchair. The command at the calculated position of the gazed screen is then sent to move the powered wheelchair.