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A computational model of visual attention was developed for regions of small defects in a large background for inspection of surface quality in the line, simulating human visual attention mechanism. Firstly global features were extracted from an input image by Law's rules. Secondly Local features were extracted and evaluated through Itti's method and inspection requirements. Then the local features...
Situation awareness is the perception of environmental elements within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future. The quality of situation awareness directly affects the decision making process for human soldiers in Military Operations on Urban Terrain (MOUT). It is therefore important to accurately model situation awareness...
A computational model of visual saliency detection is proposed based on topographic independent component analysis. This model consists of three steps: first training basis functions and extracting features which represents complex cell responses by topographic independent component analysis, then estimating feature distributions, and finally calculating self-information and obtaining saliency maps...
The knowledge of the spatiotemporal sensitivity of the human eye can be essential for those practical applications where the communication of an informatical system and a human subject can be crucial (topics: cognitive informatics, cognitive infocommunication), such as intelligent video-coding, driving assistant systems or intelligent instrumental boards. In this paper we will present the spatiotemporal...
In this work, we present a computational model of a quietly standing human. The model is composed of a system of three rigid links with two joints, one at the ankle and one at the hip. This is consistent with considerable experimental data which indicates that humans keep their knee angle nearly constant when dealing with small perturbations to their posture. An optimal control problem is designed...
Today, many individuals must interact with others who not only use different languages, but have fundamentally different belief structures and concepts of trust and collaboration. While proficiency in a language is important, it is only one aspect of effective communication. Knowledge about culturally influenced social norms, or etiquette, directly impacts interaction outcomes. Computer-based training...
We use various types of action decision strategies to realize smooth interaction with others. We can predict the intentions of others and determine our actions based on those predictions or induce the intentions and actions of others as we intended. In this study, we constructed a computational model of action decisions based on the intention predictions of others and evaluated its effectiveness by...
External shocks, negative conjuncture, periods of crisis are known to often constitute turning points for enterprises. On the one hand, managers urge to revise their business model, in order to adapt it to the changes of the external environment and of the competitive scenario. On the other hand, exogenous shocks usually affect collaboration with other players on the market. Such strategies as outsourcing,...
For many tasks in populated environments, robots need to keep track of current and future motion states of people. Most approaches to people tracking make weak assumptions on human motion such as constant velocity or acceleration. But even over a short period, human behavior is more complex and influenced by factors such as the intended goal, other people, objects in the environment, and social rules...
Ventricular fibrillation in the human heart results in global myocardial ischaemia. The aim of this study was to examine how ischaemia modulates the stability and period of re-entry in a computational model of human ventricular tissue. 2D tissue sheets were simulated using the monodomain equation with cellular electrophysiology described by the Ten Tusscher 2006 model. We modeled ischaemia by elevating...
In this work we present a new electromechanical cardiac myocyte model tailored to reproduce the electrical and force generating activities of human ventricular myocytes. The model was created by coupling two existing models: the ten Tusscher electrophysiology model and the Rice myofilament mechanics model. The parameters of the new model were adjusted in order to replicate the available experimental...
The integration of bottom-up, image-driven cues and perceptual properties of the human visual system (HVS) is crucial for the selection of salient locations. The previous studies have mainly focused on the bottom-up cues. In this paper, we propose a new model that takes both two factors into consideration. More specifically, two bottom-up conspicuity maps for early-visual features (i.e., intensity...
A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There are two important findings in constructing an infant's acquisition of phonemes: (1) an infant's vowel like cooing tends to invoke utterances that are imitated by its caregiver, and (2) maternal imitation effectively reinforces...
Empathy is often seen as the capacity to perceive, understand and experience others' emotions. This concept has been incorporated in virtual agents to achieve better believability, social interaction and user engagement. However, this has been mostly done to achieve empathic relations with the users. Instead, in this article we focus on empathy between synthetic characters and propose an analytical...
Haptic sensations have a long history of semantic relationship with various cognitive states and communication experiences. In developing multimedia interfaces, engineers would benefit greatly from knowing how sense of touch relates to human emotions. An important step in understanding this relationship is to study possible links between linguistic representations of the major haptic and emotional...
When dealing with computational models for integrating natural language and graphic representation, it is useful to examine theories of human visual perception and spatial language to discover what kind of processes and representation lie in between. This paper begins with a discussion of systems which have been implemented. It outlines related natural language processing technology and theories that...
Artificial Neural Networks (ANN) embed shallow knowledge through learning. Used in diagnosis and decision support, ANN are immediate computational models for effects and causes as from human experience but keep out from the deep knowledge of them. The paper presents a way of embedding logical processing over the numerical ones in ldquoneural logical sitesrdquo for the classical ANN paradigms, then...
Post-translational modifications pegged on to the N-terminal tails of the nucleosomes core histone proteins determine the transcriptional activity of that chromosomal region leading to the histone code hypothesis. We rely on recently produced experimental data on genome-wide maps of chromatin state to derive computational models delineating the hidden patterns of post-translational modifications....
This study is intended to design and implement an automatic lexical acquisition model based on cognitive neuroscience referring to the theory that mental lexicon structure is represented with full-listing and morphemic and that lexical forms accessed to mental lexicon upon word cognition takes a hybrid type. As the result of the study, we could simulate the lexical acquisition process of linguistic...
In order to endow virtual agents with more realistic affective behavior, it is important to provide them not only the capability to generate and regulate emotions, but also the ability to reason about the emotion regulation processes of other agents. To this end, this paper introduces a computational model for a theory of emotion regulation (ToER). The model has been implemented and tested using the...
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