Since a digital image is deteriorated by image processing such as compression and embedding of a digital watermark, image quality evaluation is required to indicate the degree of deterioration. PSNR and SSIM are widely used as existing objective image quality degradation evaluation methods. However, the results using PSNR and SSIM do not always agree with the subjective evaluation. In this study, we improve the existing physical evaluation and aim at the development of a physical evaluation method closer to the subjective evaluation. Then, since the part watched in the image is important in the subjective evaluation, a saliency map obtained using the features of the image is introduced into the image quality evaluation as perceptual information. The saliency map is a representation of a portion that is easy for a person to watch when recognizing an image. The purpose of this paper is to clarify how an evaluation index using a saliency map is related to conventional subjective evaluation and physical evaluation, by an image quality evaluation experiment.

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Parameters for evaluating the swallowing function include the larynx's upward and forward amount of movement, the time from the start of swallowing to the maximum rise. Now, only one system the Swallowing video fluoroscopic examination of swallowing(VF) can get parameters quantitatively. But, to Quantify with VF , health care workers have to work so hard. So , we developed NESSiE Non-contact Measurement System for swallowing function. We describe how to verify the larynx's upward whether NESSiE works correctly by comparing VF . And,We found that the first example include error within ±3mm that is target.

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In this paper, quality verification is performed by Live Streaming using a service quality (QoS) control technology that realizes streaming delivery and playback of multimedia data, and priority delivery of the data on the Internet, and transmission speed for a stable communication is secured in wireless local communication networks (Wireless LANs). We control the transmission speed with Linux commands. Under the environment consisting of access points, clients, and servers, we measure the packet reception rates and loss rates of streaming delivery between the notebook PC and smartphone client to show the transmission speed that should be secured to obtain a stable communication. Furthermore, we show the transmission speed that should be secured for stable communication that guarantees QoS against the increase in clients. Finally, we compare the packet loss rates between notebook PCs and smartphones and show the performance differences between these terminals.

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Sensing technology that can measure various human conditions easily and conveniently is currently being developed. Among information obtained from sensing technology, it is said that emotions and mental fatigue unconsciously appear, especially in facial information. In our research based on lip movement, we have confirmed that lip movement and smoothly utterance have been influenced due to daily physical condition and fatigue. We therefore considered that fatigue could be measured from the research that focused on lip movement. We considered change of the features of lip movements and estimated fatigue by machine learning using them. In this experiment, subjects performed a 90-min calculation as fatigue task, and lip movement and CFF were measured before and after the task. We confirm whether the subjects were fatigued from the calculation task using CFF, and the change of the opening area during utterance was compared before and after the task. As a result, it was confirmed that all subjects had a decrease in CFF value, and the opening lip area also showed a certain change before and after the task. Furthermore, we compared four machine learning methods based on the feature values of the lip movements in order to estimate fatigue from the measured lip movements. As a result of the fatigue estimation, SVM was able to get 89% highest accuracy with 5 features amount (open lip area, standard deviation of open lip area, utterance time, total of lip width, and height during utterance).

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In order to increase the staying time in sightseeing in local cities, this study calculates a spot similar to the emotion score of the selected spot, and based on the emotion word contained in the word of mouth information that makes the spot with a smaller difference similar Build a similar spot recommendation system. This system collects posted word-of-mouth information, calculates a score by emotion analysis, and then extracts highly attractive spots. Next, demonstration experiment is done in Sakai City, Osaka in a study cooperation destination using the main system, and the performance value about the system is evaluated. Furthermore, for the spot recommendation function of the two main functions of this system, the ratio of accurate judgment based on the error between the subjective evaluation and the emotion analysis by natural language processing is clarified.

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Low-cost and non-contact gaze input devices for consumers have been released, and a great deal of attention has been focused on the gaze interface. We developed a new user interaction system using contactless eye tracking device. Our system automatically extracts a word that is estimated a user's interest word from the Web page, based on the gazing point and gazing time. In addition, the system presents more information about the gazed word on the screen and supports user's Web browsing. In this paper, as a basic examination of an interaction that extracts the interest information, the system structure and verification results of the proposed system were shown.

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