The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
It is significantly obvious that English learning requires personally adapting systems. In order to satisfy this need, measuring the degrees of understanding by image tracking is fairly important. This study investigated whether eye tracking could be employed as a measure of the effectiveness of an E-Learning material on reading. Learners' eye fixations were used as a means of noticing. Results showed...
In this paper, we studied the impact of the mismatch existing between training and testing data due to the presence of an additive noise on the performance of speaker verification system. Using a GMM-UBM system with MAP adaptation as a baseline system, front-end diversity is achieved by using MFCCs and different asymmetric MFCCs stand-alone as features or followed by PCA and LDA as dimensionality...
This paper presents a new framework and feature set for vehicle model query system. By giving model names or manufacturer names as keywords, the desired vehicle images can be queried from target videos or vehicle image databases using internet-vision approach. In this framework, sample images are automatically retrieved from internet via search engine or car related website. Logos and frontal masks...
With the development of the technology like 3D specialized markers, we could capture the moving signals from marker joints and create a huge set of 3D action MOCAP data. The more we understand the human action, the better we could apply it to applications, e.g., action recognition (security), animation (sport, 3D cartoon movies, and virtual world), analysis of sports, game etc. In order to find the...
Not only facial expressions but also body gestures and postures play an important role in non-verbal communication. Whilst evidence shows that affective standing postures account for at least four affective dimensions - arousal, valence, potency and avoidance - it is not clear if the same is true for sitting postures. We investigated the perception of sitting postures and the body descriptors that...
Induction is the term used to describe the fact that visual perception depends not only on the absolute luminance of a patch in a visual scene, but also on the luminance of the surrounding patches. Induction can be achromatic or chromatic, depending on the presence of only shades of gray, or color, respectively. Achromatic induction can be measured through quite simple psychophysical matching experiments,...
A method is proposed for estimating two illuminant spectral power distributions from the highlights of overlapping illuminants on an object. It was assumed in most previous studies that specular highlights on object surfaces are caused by a single light source, or by separate multiple light sources. In this paper, we assume that two highlights from different light sources are overlapped on object...
This paper examines tweets and blogs posted by Japanese otaku immediately following the Great East Japan Earthquake. It elucidates on their state of mind and their activities for the period of about 30 days following it. In these days just after the earthquake, they entered into a mutual understanding that they must try to maintain their usual lifestyle. However, in this particular crisis situation,...
An LED-based spectral imaging system is proposed for estimating surface spectral reflectances and surface normals of art painting. The imaging system is decomposed into a multi-spectral lighting system and a digital camera. The previous lighting system has some essential limitation and inconvenience, which includes low luminance, time consumption, and expensive cost. For the purpose of solving the...
An image is generally acquired from traditional digital camera with three channels, such as red, green, and blue. However, an RGB image cannot fully represent real scene. To accurately represent the colors in a real scene, a multi-channel camera system is used to estimate spectral reflectance. Wiener estimation is widely used methods for estimating the spectral reflectance. While simple and accurate...
This paper deals with 3D shape reconstruction based on a structured-light projector and two cameras using Evolutionary Algorithms (EAs). Two main problems are solved: first, the correspondence problem (also called the stereo matching problem) which allows the matching of different views of a same point in the two images, and second, the camera calibration which takes into account the camera parameters...
Incorporating intelligence and social behaviours into virtual worlds for learning is becoming more desirable in making them smart, adaptive, personalized, and therefore, more effective and engaging. Realistic non-player controlled characters (NPCs) are essential of a game world and are making the virtual world more real for players. This is true in video games where more interactive NPCs support the...
Observation of lunar phase in the real world is an important part of lunar phase learning. In this research, mobile Augmented Reality (AR) technology was used to develop a multi-viewpoint AR-based mobile learning (M-VARML) system for moon observation that can be used in the real world environment. An experiment was conducted to evaluate the usefulness of our system. Ten participants were given five...
In Intelligent Tutoring System (ITS), peer affective feedback could be an effective solution to regulate the learners' emotions when the feedback provided by the ITS is inadequate. However, this option raises many privacy problems since peer affective feedback involves the disclosure of the learner's personal data. However, the protection of learners' privacy is imperative to ensure an unbiased environment...
Associative Learning Skills are those skills that learners possess in order to associate previously learned concepts with new knowledge. Understanding learners' Associative Learning Skills can create opportunities to enhance learning experience by adapting the content and other aspects of instruction to individual learners. This paper analyzes three tools from the literature to determine their suitability...
Physics is an experimental science, which is through experiments for initiating students into physical concepts and principles. To motivate students in learning physics, in this study, a virtual physics laboratory was developed by using the techniques of Kinect, Unity3D and a gesture classification algorithm. The visual physics experiments were designed in the virtual physics laboratory. The experimental...
The filter simulates "Shinhanga," multi-colored woodblock print, which was once popular in Japan around one hundred years ago. We expect that the filter sheds light again on this fascinating art style. The filter follows three steps to simulate contour lines and gradation, which characterize "Shinhanga"; The filter extracts contour lines based on hue of an original image, then...
Smart learning environments have recently emerged as education solutions that integrate digital devices, digital learning content, and software for more effective and interactive learning settings. However, problems of information overload and duplicate restrict students' interactivity with the smart learning environment and limit its development. An approach in contextual query expansion based multi-document...
This article provides a methodology of assessing the (Big)/(Open) Data quality in Data Driven Decision Making with the Value Network Analysis approach discovering the value creation failure point(s) in the network and evaluating the impact of loss of vale of data in DDDM process.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.