In recent years, display systems are widely used year by year. Furthermore, the elderly population is rapidly increasing. In order to improve visibility of in-car display systems for drivers, it's indispensable to display design that young designers can experience the visual performance of old people. This paper describes the system to simulate the visual functions and aging of elderly people. The proposed system is composed of image input devices, computer and display device. The method of this system is implemented by image processing techniques, which is intended to visualize three human vision properties ; a spatial response, a spectral transmittance of crystalline lens and an accommodation. We have concluded that this system plays an important role in understanding the virtual driving view of elderly people.
In this paper, we propose a new approach to designing visual displays for older people based on a human vision model. The model is represented by three vision properties ; a contrast sensitivity of eyes, an optical transmittance of crystalline lens and an accommodation which are found in the visual science literature. The image processing techniques are used to improve visibility of images for older people. It is intended to compensate deteriorations of human vision as aging by sharpening edges and by changing color balance. The proposed method is applied to automotive displays, including a navigation system and a speedometer, and a high correspondence between a subject age and the target age of the enhanced image has been obtained.
In this paper, we propose a method of real-time hand shape recognition. It provides good results of recognition by using only nine kinds of parameter for discribing the hand feature. In the experimental result of japanese finger spellings, the recognition ratios are 90% or over. And we can control some electric appliances real-time.
This paper proposes a system to enlarge display image appropriate for the estimated visual characteristics of visually disabled and aged people. Setup information for enlargement, which is enlargement position and maguification of the display image, are estimated by using user's concentration level, the distance between users' head and the display, and user's remote controlled input to the system or direct input to the display. The image on the display are enlarged according to these information. Visually disabled and aged people show the enlarged display image appropriate for individual visual characteristics by using enlargement information.