Recently, manufacturers of electronic devices such as mobiles and displays tend to introduce various audiovisual assistive technologies in their products for the disabled. Since TV was born, however, the nature of TV “watching experience” for the visually impaired which is the first ranked leisure activity has not been improved unfortunately. Instead, it has been nothing more than using the TV in a way that understands the screen with only voice or listens to the voice that explains the screen. With the goal of improving the nature for the visually impaired with blurry vision, the world first visual-aid algorithm is proposed and implemented on TV for mass production and its effectiveness is proven by medical trials for many low vision people. This visual-aid algorithm is a technology that unprecedentedly emphasizes important features of pictures for the human vision including the edge, color and contrast so that low vision people who have significantly lowered contrast sensitivity can better understand the screen. In order to break the paradox of finding the pleasure of watching TV for specifically the low vision people, clinical trials were absolutely necessary and the results said that the proposed algorithm is surprisingly meaningful for the visually impaired. The clinical trials and our simulation experiments convinced that the TV viewing experience of the visually impaired and further the quality of their lives can be improved.
This paper presents a technical ensemble between a mobile projector and smartphone camera for providing colorimetrically calibrated realistic experience everywhere. Since portable projectors can be used in any places without a dedicated white screen, it is very essential to calibrate color of output videos no matter what a colored surface is used for a screen. That is, a calibration process is strongly required to realize the constant intended color experience while using mobile projectors. For that, we build an easy calibration process as follows. First, the (Android or iOS) mobile and projector are connected in a common local common network, and then a mobile application generates a specific electro-optical (RGB-XYZ) conversion function by capturing re ected light from a given specific white plate. The smartphone that plays the role of an optical measurement device transmits measured light information and calibration instruction to the display system. Then the projector adjusts its light outputs and notify the status to the mobile. This `measurement-adjustment' process is recursively conducted within few seconds. The process is completed when the adjustment result meets a stop condition for a calibration target on given colored wall screen. Based on our experimental results of photometric calibration using many kinds of recently released Android and iOS smartphones, the e
effectiveness of the methods is proven.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.