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Situation Awareness is a very successful concept that has built on traditional Human Factors models of information processing, mental workload, working memory and expertise. However these models do not capture the essential plasticity, variability, flexibility and vulnerability of real world human in the loop control and communication systems. A more encompassing concept is Knowledge Awareness that...
According to group research, group members often fail to consider critical unique information in a group decision-making setting because of their motivated information-processing behavior. Given the complexity of experimental designs to investigate the problem, agent-based modeling can provide hypotheses that can work as theoretical guidance for future research. The purpose of this paper is to identify...
To the extent that phishing has become a serious threat to information security, there has been rather limited theory-grounded research on this burgeoning phenomenon. In this paper, we propose a study on victimization by phishing based on the Heuristic-Systematic Model of information processing. We argue that the Heuristic-Systematic Model offers an ideal theoretical framework for investigating the...
This paper presents a method of estimation of facial expression intensity from a sequence of binary facial images obtained from video. The binarization has been done using a neuro-visual model of figure ground segregation. The Local Binary Pattern (LBP) is taken as characteristic feature of a face with expression. This pattern gets evolved in the temporal domain over the sequence. The dynamics of...
In this paper, we propose a framework that fuses global and local features for action recognition in videos sequences. The combination of multiple features is important as single feature based method is not able to capture imaging variation (illumination changes, view point orientation etc. and attributes of individuals (age, size etc.). Hence, we use two types of features: i) a quantized local spatial-temporal...
Human pose estimation from monocular image sequences is attracting increasing attention, and 2D (image-based) as well as 3D (joint-motion based) approaches have been proposed. The former is computationally fast, and works also for less frequent poses, but reliability is low. The latter is computationally expensive owing to the high-dimensionality of the problem, despite attempts at dimensionality-reduction...
Computerized human face recognition is a complex task of deformable pattern recognition. The principal source of complexities lies in the significant inter-class overlapping of faces due to the variations caused by different poses, illuminations, and expressions (PIE). The popularly used computerized face recognition algorithms like PCA, EBGM etc. are fairly reliable to determine facial attributes...
Lip detection from human front facial image belongs to image segmentation and an essential in many multimedia systems and real time applications such as videoconferencing, speech reading and understanding, face synthesis and facial animation through pronunciations. An efficient and effective detection of the lip contours from the human front facial image is relatively a difficult job in the field...
Hand gestures are the universally adopted means of communication with deaf and dumb people throughout the world. By understanding and animating hand gestures, we can help in facilitating communication between computers and the underprivileged. In this paper, we present a method for regenerating original hand gesture sequence with the help of few frames, which are nothing but the key frames. These...
The work being presented here portrays a novel approach for emotion recognition based on the texture analysis of facial images. The expression of the emotion on facial image manifests in variations in spatial arrangement and intensity of the pixels. The emotions can be recognized by taking note of these variations corresponding to the features being used for emotion detection in human interaction...
Facial expressions convey non-verbal cues, which play an important role in interpersonal relations. Automatic recognition of human face based on facial expression can be an important component of natural human-machine interface. It may also be used in behavioral science. Although human being can recognize the face practically without any effort, but reliable face recognition by machine is a challenge...
Studies were performed on a set of diffusion weighted magnetic resonance images (DW-MRI) of the human brain (in the axial plane) to find the relationship between the MRI light intensity high frequency power (HFP) parameter values and the different stages of intracerebral haemorrhage (ICH). Analysis of the results show that the differences in the light intensity HFP values in the DW-MRI for the subjects...
Designing systems in such a way that as much functions as possible are automated has been the driving direction of research and engineering in aviation, space and more generally in computer science for many years. In the 90's many studies (e.g. [12] related to the notion of mode confusion) have demonstrated that fully automated systems are out of the grasp of current technologies and that additionally...
The aim of this work is to discuss the relation between reliability of structural system and human performance of perception in man-machine system. It is studied to evaluate the effect of performance deterioration on structural safety from the viewpoint of uncertainties of human behavior. The sensitivity on uncertainty on structural safety is discussed by stress-strength model. It is considered that...
State of the art approaches to autonomous systems face the challenge of sensor data fusion, abstraction, classification, and prediction of events. The trend is going towards the integration of more and more sensors into automation systems, which will reach a number of sensors comparable to the amount of sensory receptors in the human body in the not too distant future. While today's technical systems...
In this study, we propose Partitioned Hopfield Neural Network (PHNN) to realize the memory mechanism of the human brain. The PHNN is realized by arranging cell which has a small HNN in the whole image regularly without overlap. By computer simulations, we confirm that the PHNN recalls the whole image from the partial characteristic of the stored images.
Driver is the main cause of traffic accidents, in order to avoid this, unmanned ground vehicles, which have more advantages, may take place of drivers. This article summarized further research on the processes of driving behaviors for intelligent driving based on cognitive psychology, first we built intelligent driving behavior model with construction perception, second based on “Future Challenge”...
Classical models of Situation Awareness (SA) describe it as a process involving self-agency, or as rooted in [externally directed] consciousness operating in a perceptual cycle. These models are robust for dynamic situations where events unfold gradually in the temporal dimension at a rate that is compatible with the ability of the human agent to process information, and where this information processing...
The past decade has witnessed how audio-visual communication has shaped the way humans interact with or through technical systems. In contemporary times, the potential of haptic communication has been recognized as being compelling to further augment human-to-human and human-to-machine interaction. In the context of immersive communication, video and audio compression are considered key enabling technologies...
The technology of Human Machine Interface (HMI) mainly investigate about how to use machines in a more humanized way so that the communication between human and the machine could become more harmonic and natural. Previous studies indicate that there is an integration area in the human brain for audiovisual information processing. Although machines also possess mechanism for audiovisual processing,...
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