5153 research outputs found
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Improved Eigenface Recognition Using Hierarchal Technique
No full textFace recognition is one of the important fields of computer vision and pattern recognition because of its applications in security and intelligence systems. In this paper we improve one of the famous algorithms used for face recognition which is Eigenface technique. The method of improvement used in this paper is the Hierarchical technique which means that input image will be applied into different levels of recognition instead of only one level as used in the regular Eigenface method. The hierarchical technique developed in this paper increases the detection rate in the case of large benchmark image database by more than 30% as compared to the original method
Robotics Middleware: A Comprehensive Literature Survey and Attribute-Based Bibliography
Get PDFAutonomous robots are complex systems that require the interaction between numerous heterogeneous components (software and hardware). Because of the increase in complexity of robotic applications and the diverse range of hardware, robotic middleware is designed to manage the complexity and heterogeneity of the hardware and applications, promote the integration of new technologies, simplify software design, hide the complexity of low-level communication and the sensor heterogeneity of the sensors, improve software quality, reuse robotic software infrastructure across multiple research efforts, and to reduce production costs. This paper presents a literature survey and attribute-based bibliography of the current state of the art in robotic middleware design. The main aim of the survey is to assist robotic middleware researchers in evaluating the strengths and weaknesses of current approaches and their appropriateness for their applications. Furthermore, we provide a comprehensive set of appropriate bibliographic references that are classified based on middleware attributes.http://dx.doi.org/10.1155/2012/95901
The Psychological Impact of Athletic Injury
No full textA poster on the psychological impact of athletic injury
Virtual Wireless and Mobile Communication Laboratory
No full textCreating a virtual laboratory for distance learning courses has become recently so important recently for engineering education. In this paper, we provide a full description for a remote access technique used in a wireless and mobile communication laboratory. Hence, the student will be able to perform experiments online and controlling and watching the devices by accessing a camera already built in the laboratory. Signal generator, spectrum analyzer and field-fox devices are used in the virtual laboratory.https://doi.org/10.5923/j.edu.20120201.0
Efficient and Robust Optical Character Recognition Algorithm for Signature Recognition
No full textWith the technology development over the past decades, it became necessary to provide secure recognition systems. The Optical Character Recognition (OCR) can be considered as one of the most useful software to offer security. It works on the principal of recognizing the patterns with the use of a computer algorithm. OCR has multiple uses in places that need security verification such as banks, elevators, police departments. Furthermore, it can be used in several categories simultaneously. There are two types of recognition. First is the static approach which is based on the information of the input. Second is the dynamic recognition which is more usable for recognition of speech. In fact, OCR will be one of the most important techniques for human computer interaction in future. However, in this paper we have used OCR as feature to implement our algorithm. We are presenting a new algorithm that is capable of recognizing each signature individually. This makes the system more efficient and robust,especially in banks which need to verify the customer’s signature on a regular basis. A highly efficient C# system was developed to implement the new algorithm
Parallel Processing for Multi Face Detection and Recognition
No full textIn this paper, a robust approach for real time face recognition where the images come from live video is proposed. To improve the algorithmic efficiency of face detection, we combine the eigenface method using Haar-like features to detect both of eyes and face, and Robert cross edge detector to locate the human face position. Robert Cross uses the integral image representation and simple rectangular features to eliminate the need of expensive calculation of multi-scale image pyramid. Moreover, In order to provide fast response in our system, we use Principal Component Analysis (PCA) to reduce the dimensionality of the training set, leaving only those features that are critical for face recognition. Eigendistance is used in face recognition to match the new face while it is projected on the face space. The matching is done when the variation difference between the new image and the stored image is below the threshold value. The experimental results demonstrate that the proposed scheme significantly improves the recognition performance. Overall, we find the system outperforms other techniques. Moreover, the proposed system can be used in different vision-based human computer interaction such as ATM, cell phone, intelligent buildings, etc
Breathing Movement Classification using MFCCs
No full textDetecting the breath and classifying breathing movements such as inhale and exhale has settled importance in manybiomedical research areas. To this end, monitoring the breathing movements for lung cancer patients tends to remain one of the breath detection applications which have received much attention. On the other hand, virtual reality (VR) revolution has a lot of implications in many fields, which could also be used as a simulation technology for healing purposes. This has been an indication to use VR to assist the lung cancer patients. In this work, a novel method is proposed to detect and classify breathing movements. In our technique, we employ Mel-Frequency Cepstral Coefficients (MFCCs) to the acoustic signal of respiration captured using a microphone to depict the differences between the inhale and the exhale in frequency domain. MFCC features are widely used in depicting the different acoustic and physical traits of voices. For each subject, the acoustic signal of breath is captured and then split into inhale and exhale durations. We have applied 13- MFCCs for each inhale and exhale timeframe, and plotted the i-th MFCC for all subjects individually. We classify the Detecting the breath and classifying breathing movements such as inhale and exhale has settled importance in many biomedical research areas. To this end, monitoring the breathing movements for lung cancer patients tends to remain one of the breath detection applications which have received much attention. On the other hand, virtual reality (VR) revolution has a lot of implications in many fields, which could also be used as a simulation technology for healing purposes. This has been an indication to use VR to assist the lung cancer patients.In this work, a novel method is proposed to detect and classify breathing movements. In our technique, we employ Mel-Frequency Cepstral Coefficients (MFCCs) to the acoustic signal of respiration captured using a microphone to depict the differences between the inhale and the exhale in frequency domain. MFCC features are widely used in depicting the different acoustic and physical traits of voices.For each subject, the acoustic signal of breath is captured and then split into inhale and exhale durations. We have applied 13-MFCCs for each inhale and exhale timeframe, and plotted the i-th MFCC for all subjects individually
Collaborative Networks and The Central Connectivity Effect
No full textA poster describing personal networking and collaboration within organizations
Innovative prototypes for mobile collaborative learning (MCL) to substantiate pedagogical activities
No full textThis poster introduces the new ranking and marking testing method which provides educational support and gives complete picture for developing new pedagogical protocols and applications for MCL. On the basis of ranking and marking method, the poster introduces new server and client side interactive prototypes with support of various working components, which help the users in obtaining the contents from server to meet the pedagogical requirements. The poster also proposes and integrates the features of content-server with cacheserver to provide the faster delivery of contents for MCL. Furthermore, the poster proposes and implements some features of a novel "group application" to support asynchronous and synchronous and multimodal features to facilitate the students for MCL. Finally, the poster validates the features of interactive architectural based protocols, group application and light weight software threads. This contribution will encourage and motivate the students to pursue their education again because the students will be able to get the course contents at anytime and anywhere
The Odyssey Projection: Prevention through Collaboration
No full textA poster discussing the Odyssey Project and how it is working to counteract substance abuse and HIV