Yoshiaki Kuno

Drifting and Blinking Compensation in Electro-oculography (EOG) Eye-gaze Interface

This paper describes an eye-gaze interface using a biological signal, electro-oculorgram (EOG). This interface enables a user to move a computer cursor on a graphical user interface using eye gaze movement alone. It will be useful as a communication aid for individuals with mobility handicaps. Although EOG is easily recordable, drifting and blinking problems must be solved to produce a reliable eye-gaze interface. Here we introduced a calibration method and a feedback control to overcome these problems.

Development of a fish-eye VR system with human visual functioning and biological signals

Present VR systems fall short of producing a true sense of reality. If we understand functioning on human senses, we will be able to generate imaginary space using minimum information. In the case of vision, the human eyesight fails from the center to the periphery of visual field. In this paper, we focus on this functioning, and propose a VR system, where one of biological signals, EOG (electro-oculogram), is used as a human interface.

A study on processing of position detection and data communication using illuminant devices and image sensor

Using light sources and an image sensor, we have proposed a system which emulates wireless data communication and position detection simultaneously. Here, the light sources are installed as a transmitter on a target side, and the image sensor as a receiver on an observer side. The detection of flashing light sources leads to wireless data communication from the target to the observer. While the image sensor is capturing the multiple light source, the targets position can be computed by means of the image measurement. The advantages of this system are as follows; (1) both of position detection and wireless data communication can be processed simultaneously, (2) the system can be used at the place where any radio wave is prohibited, or where strong electromagnetic noise is emitted.

Fundamental research for EEG interface: EEG and auditory/visual stimulus during eye-movements

Electroencephalograms (EEG), are the focus of this study. In order to develop an EEG-based interface, we examined the EEG during eye movements towards a visual/auditory stimulus. Experimental results have shown that the EEG dropped rapidly on the occipital lobe 25 milliseconds before eye movements. Also, when the eyes moved towards the right or left, the drop in the EEG was found on the right or left occipital lobe, respectively.

Simultaneous processing of target detection and data communication

Instead of radio waves, light sources are used for the position detection and the communication in our proposed system. In the system, light sources as a transmitter are attached on a target object, and the image is detected by an image sensor as a receiver. Once the image sensor captures the image of the lights, it is possible to compute the position of the object based on the image processing of the light images. At the same time, the communication data can be transferred with the flashing of lights. The advantages of this system are as follows: 1) both the position detection and the communication can be processed simultaneously; 2) the system can be used at places where the use of radio waves are prohibited.

Optical sensing and communication in eye-gaze interface

We have incorporated a new method to compute the head position detection and data transmission into our previously proposed eye-gaze interface. Since the data is wirelessly transmitted, an operator can have more freedom. Also, as the system does not use any radio waves, it can be applicable in a hospital.

1534 Analysis of EEG on the human posterior parietal cortex during saccadic eye movements

Tohru YAGI’ , Yoshiaki KUN02, Yoshiki UCHIKAWA2 EEG on the posterior parietal cortex has been recorded while a human subject look at a visual target using saccadic eye movements. FFT analysis revealed that the DC component of EEG power spectrum dramatically decreases 100 msec prior to every saccadic eye movement. It has been unknown if this phenomena is caused by the motion of eyes, or by the attention to the visual target. If it becomes possible to predict eye movements on the basis of EEG, this study will lead to the development of EEG human interface, which is meaningful in engineering applications.