Engineering data compendium. Human perception and performance. User's guide

The concept underlying the Engineering Data Compendium was the product of a research and development program (Integrated Perceptual Information for Designers project) aimed at facilitating the application of basic research findings in human performance to the design and military crew systems. The principal objective was to develop a workable strategy for: (1) identifying and distilling information of potential value to system design from the existing research literature, and (2) presenting this technical information in a way that would aid its accessibility, interpretability, and applicability by systems designers. The present four volumes of the Engineering Data Compendium represent the first implementation of this strategy. This is the first volume, the User's Guide, containing a description of the program and instructions for its use

WEBCAM MOTION DETECTION USINGVISUAL BASIC

Watch Eyes Motion Detection System is aproject used to enhance student's interest in multimedia system development, but at the same time the project can be used as motion detection system that will help any person in doing research in motion detection purposes. This system is able to be upgraded to be amonitoring system for security purposes. The project adds the number of motion detection collection programs that available in the market. Motion detection helps a lot in daily activities that involve security and good monitoring system. Studies have shown that motion detection helps in improvement of the security system and especially in doing aresearch about motion. But it is not the main focus in this project because it focuses more on how motion detection works. Watch Eyes is developed using skin tones algqrithm which is use in the system to detect the skin tones that present in the captured image. The main focus of the system is to ensure that the motion can be detected only using the skin tones. Combination of several related algorithms helps in developing the skin tones algorithm. Many researches have been carried out to identify the needs ofthe system to make it works as expected. The development of this system dope in stages, determined by the planning processes which follow the Water-Spiral model. Early analysis of the existing motion detection system falls under the earlier stage which include information gathering. Through the development of such system, it is hoped that it will help to increase student interest in computer vision that involve multimedia development and as well as to individual who interest in doing motion detection research

Content-prioritised video coding for British Sign Language communication.

Video communication of British Sign Language (BSL) is important for remote interpersonal communication and for the equal provision of services for deaf people. However, the use of video telephony and video conferencing applications for BSL communication is limited by inadequate video quality. BSL is a highly structured, linguistically complete, natural language system that expresses vocabulary and grammar visually and spatially using a complex combination of facial expressions (such as eyebrow movements, eye blinks and mouth/lip shapes), hand gestures, body movements and finger-spelling that change in space and time. Accurate natural BSL communication places specific demands on visual media applications which must compress video image data for efficient transmission. Current video compression schemes apply methods to reduce statistical redundancy and perceptual irrelevance in video image data based on a general model of Human Visual System (HVS) sensitivities. This thesis presents novel video image coding methods developed to achieve the conflicting requirements for high image quality and efficient coding. Novel methods of prioritising visually important video image content for optimised video coding are developed to exploit the HVS spatial and temporal response mechanisms of BSL users (determined by Eye Movement Tracking) and the characteristics of BSL video image content. The methods implement an accurate model of HVS foveation, applied in the spatial and temporal domains, at the pre-processing stage of a current standard-based system (H.264). Comparison of the performance of the developed and standard coding systems, using methods of video quality evaluation developed for this thesis, demonstrates improved perceived quality at low bit rates. BSL users, broadcasters and service providers benefit from the perception of high quality video over a range of available transmission bandwidths. The research community benefits from a new approach to video coding optimisation and better understanding of the communication needs of deaf people

Recognition of Eye Characteristics

This chapter deals with the recognition of features contained within the human eye, namely the iris and retina. The great advantage is that both the iris and retina contain a large amount of information, that is, they can be used for a larger group of users. The disadvantage, on the other hand, is the fear from users in regard to possible eye injury. Both of these features cannot be easily acquired and misused to cheat a biometric system. This chapter also explains how to capture and process these two biometric characteristics. However, the number of biometric industrial solutions dealing with retina recognition is very limited—it is practically not possible to find an available biometric device for identity recognition on the market based on this biometric characteristic

A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks

While significant strides in neural network and machine vision applications have been made in recent years, humans still remain the most proficient at feature extraction and pattern recognition tasks. Some researchers have attempted to utilize select aspects of the human visual system in order to perform application-specific visual tasks. However, none have been able to develop a computational model of the biological human visual system that can perform the many complex pattern recognition tasks that we do as humans. This thesis focuses on significant improvements to an existing human visual system model created by N. Radhi, and the novel implementation of a deep learning system for road detection utilizing non-uniformly sampled images in log-polar coordinate space. A convolutional neural network is used to compare the non-uniformly sampled image model with the conventional uniform structure, with the non-uniform model demonstrating significant increases in processing speed while retaining high validation accuracy. Comparisons between the uniform and non-uniform models when subjected to a variety of preprocessing methods are presented

Recognition of Eye Characteristics

Children grow and develop in a life colored by the violation of others right, crime, compulsion, ignorance, unclearness between right and wrong, good and bad, allowed and not allowed behaviors. Building moral intelligence is very important to do in order that the childrens intuition is able to differentiate the right and the wrong. Thus, they can reject the bad influences from outside. One of the ways used to give moral value to the children is sociodrama.The research aims to know the sociodrama method in improving the moral intelligence of children. Subject of the research is the student of elementary school. The number of subject in the experiment and control groups is same that is 14 students.The research is design using model of The Untreated Control Group Design with Pretest and Posttest. The design uses two groups examined which consist of an experiment group and a control group. The measurement is conducted twice using moral intelligence measurement instrument, namely before it is given treatment (pre-test) and after it has been given treatment (post-test).The result of analysis using T-Test shows that there is a difference of moral intelligence achievement level of the children between those who receive moral value guidance through sociodrama method and those who do not receive moral value guidance through sociodrama method p = 0,009 (p<0,05). The result of analysis also shows that there is difference of moral intelligence achievement level of th children before receiving moral value guidance through sociodrama method and after they have receive the moral value guidance through sociodrama method p = 0,033 (p<0,05). The result of analysis shows the great contribution of sociodrama method towards the moral intelligence of children is 30,9%