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Real time functional magnetic resonance imaging (rtfMRI) allows capturing and analyzing the image of brain activity instantly by measuring the blood oxygen level-dependent (BOLD) signal. Based on rtfMRI, it could provide on-line feedback of human subjects to learn self-regulation of physiological processes, which had shown significant and potential applications in many conducted researches. With the...
Large-scale natural or man-made disasters have the potential to cause great loss of life, human injury and extreme property damage. Evacuation from areas at risk is often one of the most feasible strategies that can be undertaken in response to these types of disasters. Evacuating a large population in the shortest possible time is an extremely complicated and difficult task, which primarily relies...
Human activity recognition has become very popular in the field of computer vision. In this paper, we present a simple, robust and computationally efficient algorithm, architecture and implementation to recognise and classify human activities in real-time using very few training data. We employ a spatio-temporal representation of human activities by combining trajectory information and invariant spatial...
This paper introduces an open-source real-time system that controls remotelly a robot using Human Neuroblastoma cultures and basic Braitenberg principles. Multielectrode Arrays Setups have been designed for direct culturing neural cells over silicon or glass substrates, providing the capability to stimulate and record simultaneously populations of neural cells. The main objective of this research...
This paper deals with the issue of gradual classification of a multivariate sequence where the number of candidate time-series generators is significantly high. It proposes a prediction scheme that consists of two components: a hierarchical structure which organizes the time-series models and a decision maker tool that assigns and evolves a respective hierarchy of probabilities; the latter expresses...
In the previous work, the authors proposed an efficient method to abstract human skill based on HHARX model, and successfully applied the obtained human skill models in an automatic driving system based on PC. This paper proposes a method to realize the human driving skill models based on embed microcontroller OMAP3530. In the system, Omap3530 realize real time image collection and processing, driving...
Propose: Idiopathic orbital inflammatory pseudotumors (IOIP) are inflammatory pseudotumors (IPT) of unknown etiology that develop in the orbit. Due to the lack of well-defined pathogenic mechanisms and diagnostic markers, diagnosis and treatment of this disease remain a significant challenge. Therefore, the aims of this study are to define the etiological factors of IOIP and to identify potential...
The presence of enteric viruses in drinking water is a potential health risk. Growing interest has arisen in nanometals for water disinfection, in particular the use of silver based nanotechnology. In this study, Lactobacillus fermentum served as reducing agent and bacterial carrier matrix for zerovalent silver nanoparticles, referred to as biogenic Ag0. The antiviral action of biogenic Ag0 was examined...
This paper presents a novel control approach based on digital image processing for elevator door protection system. This system is a non-contact type of elevator door protection system, which incorporates the background difference method and inter-frame difference method to achieve moving object detection and identifies the human body by the ratio of the image area and domain of variation. Finally,...
This paper presented the personal authentication system using little resources for home use. The following three goals were achieved at the same time by this system: (1) identification of each individual, (2) unique existence of each individual in the specified time and space, and (3) no contradiction in the existence of each individual in view of the space and the time before and after an event....
Creating realistic virtual humans has been a challenging objective in the areas of computer science research and technology industry. While there are a number of aspects to create realistic virtual humans, this paper focuses on the comprehensive integrated framework of modeling virtual humans with high level autonomy, which aim to reproduce human-like believable behaviors and movements of virtual...
In this paper we present a biological-aware stereoscopic renderer that is used in a video communication system, to convincingly provide the participants with synthetic 3D perception. As opposed to conventional 3D systems-where pre-recorded content is presented to the viewer without taking his or her viewing location into account-we adaptively exploit both monocular and binocular cues of the human...
Audio and video applications over wireless sensor networks have recently emerged as a promising research field. However, the limits in terms of communication bandwidth and transmission power have withstood the design of low-power embedded nodes for voice communication. In this work we describe the implementation details of an embedded system for the wireless broadcasting of audio signals over the...
In the past decade, computer generated virtual environment and virtual humans have become ubiquitous in numerous applications. Creating realistic virtual humans in real-time interactive virtual environment has been a challenging objective in the areas of computer science research and technology industry. This paper focuses on creating real-time intelligent interactive virtual environment, which integrates...
Ocean and air going autonomous vehicles are capable of performing “dirty, dull and dangerous” (3D) missions and have already proved invaluable in the field. 3D missions arise not only in defense operations, but also in civilian operations, such as those concerned with oceanographic and environmental protection or harbor protection missions. These current trends set new requirements for future generations...
A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, friends and families of deaf people as well as people who are deaf or hard of hearing themselves. Developing a sign language recognition system will help the hearing impaired to communicate...
Recent advances in computing and auditory neuroscience have now made it possible to produce highresolution, real-time simulations of major portions of the human auditory pathway, including high resolution, real-time models of the cochlea, major cell-types of the cochlear nucleus, lateral and medial superior olivary complex, as well as polyphonic pitch perception based on combination-sensitive cells...
This paper presents a multiagent system that can process stereoscopic images and detect people with a stereo camera. In the first of two phases, the system creates a model of the environment using a disparity map. It can be constructed in real time, even if there are moving objects present in the area (such as people passing by). In the second phase, the system is able to detect people by combining...
Our main focus in this paper is to determine the most appropriate method for assessing the Quality of Experience (QoE) in the context of Multiple Description Coding (MDC) video streaming, over multiple overlay paths, in video distribution networks (VDN). For this objective, we compare three different types of QoE assessment approaches, subjective approach, objective approach and a hybrid approach...
Pepper berries classification has been performed manually by human vision. Hence the procedure consumes a lot of manpower and time. This research discusses an application of computer vision to classify the peppercorn samples. We propose the use of edge detection and template matching from the real time gray scale images taken from the peppercorn samples. Color images and color detection is applied...
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