| 61. |
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| 62. |
- Abedan Kondori, Farid, 1983-, et al.
(författare)
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Head Operated Electric Wheelchair
- 2014
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Ingår i: Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. - : IEEE Press. - 9781479940530 ; , s. 53-56
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Konferensbidrag (refereegranskat)abstract
- Currently, the most common way to control an electric wheelchair is to use joystick. However, there are some individuals unable to operate joystick-driven electric wheelchairs due to sever physical disabilities, like quadriplegia patients. This paper proposes a novel head pose estimation method to assist such patients. Head motion parameters are employed to control and drive an electric wheelchair. We introduce a direct method for estimating user head motion, based on a sequence of range images captured by Kinect. In this work, we derive new version of the optical flow constraint equation for range images. We show how the new equation can be used to estimate head motion directly. Experimental results reveal that the proposed system works with high accuracy in real-time. We also show simulation results for navigating the electric wheelchair by recovering user head motion.
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| 63. |
- Abedan Kondori, Farid, 1983-
(författare)
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Human Motion Analysis for Creating Immersive Experiences
- 2012
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- From an early age, people display the ability to quickly and effortlessly interpret the orientation and movement of human body parts, thereby allowing one to infer the intentions of others who are nearby and to comprehend an important nonverbal form of communication. The ease with which one accomplishes this task belies the difficulty of a problem that has challenged computational systems for decades, human motion analysis. Technological developments over years have resulted into many systems for measuring body segment positions and angles between segments. In these systems human body is typically considered as a system of rigid links connected by joints. The motion is estimated by the use of measurements from mechanical, optical, magnetic, or inertial trackers. Among all kinds of sensors, optical sensing encompasses a large and varying collection of technologies. In a computer vision context, human motion analysis is a topic that studies methods and applications in which two or more consecutive images from an image sequences, e.g. captured by a video camera, are processed to produce information based on the apparent human body motion in the images. Many different disciplines employ motion analysis systems to capture movement and posture of human body for applications such as medical diagnostics, virtual reality, human-computer interaction etc. This thesis gives an insight into the state of the art human motion analysissystems, and provides new methods for capturing human motion.
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| 64. |
- Abedan Kondori, Farid, et al.
(författare)
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Real 3D interaction behind mobile phones for augmented environments
- 2011
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Ingår i: 2011 IEEE International Conference on Multimedia and Expo (ICME). - : IEEE conference proceedings. - 9781612843490 - 9781612843483 ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- Number of mobile devices such as mobile phones or PDAs has been dramatically increased over the recent years. New mobile devices are equipped with integrated cameras and large displays which make the interaction with device easier and more efficient. Although most of the previous works on interaction between humans and mobile devices are based on 2D touch-screen displays, camera-based interaction opens a new way to manipulate in 3D space behind the device in the camera's field of view. This paper suggests the use of particular patterns from local orientation of the image called Rotational Symmetries to detect and localize human gesture. Relative rotation and translation of human gesture between consecutive frames are estimated by means of extracting stable features. Consequently, this information can be used to facilitate the 3D manipulation of virtual objects in various applications in mobile devices.
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| 65. |
- Abedan Kondori, Farid, et al.
(författare)
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Smart Baggage in Aviation
- 2011
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Ingår i: 2011 IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing. - Los Alamitos : IEEE Press. - 9781457719769 ; , s. 620-623
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Konferensbidrag (refereegranskat)abstract
- Nowadays, the Internet has dramatically changed the way people take the normal course of actions. By the recent growth of the Internet, connecting different objects to users through mobile phones and computers is no longer a dream. Aviation industry is one of the areas which have a strong potential to benefit from the Internet of Things. Among many problems related to air travel, delayed and lost luggage are the most common and irritating. Therefore, this paper suggests anew baggage control system, where users can simply track their baggage at the airport to avoid losing them. Attaching a particular pattern on the bag, which can be detected and localized from long distance by an ordinary camera, users are able to track their baggage. The proposed system is much cheaper than previous implementations and does not require sophisticated equipment.
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| 66. |
- Abedin, Md Reaz Ashraful, et al.
(författare)
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Self-supervised language grounding by active sensing combined with Internet acquired images and text
- 2017
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Ingår i: Proceedings of the Fourth International Workshop on Recognition and Action for Scene Understanding (REACTS2017). - Málaga : REACTS. - 9788460881766 ; , s. 71-83
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Konferensbidrag (refereegranskat)abstract
- For natural and efficient verbal communication between a robot and humans, the robot should be able to learn names and appearances of new objects it encounters. In this paper we present a solution combining active sensing of images with text based and image based search on the Internet. The approach allows the robot to learn both object name and how to recognise similar objects in the future, all self-supervised without human assistance. One part of the solution is a novel iterative method to determine the object name using image classi- fication, acquisition of images from additional viewpoints, and Internet search. In this paper, the algorithmic part of the proposed solution is presented together with evaluations using manually acquired camera images, while Internet data was acquired through direct and reverse image search with Google, Bing, and Yandex. Classification with multi-classSVM and with five different features settings were evaluated. With five object classes, the best performing classifier used a combination of Pyramid of Histogram of Visual Words (PHOW) and Pyramid of Histogram of Oriented Gradient (PHOG) features, and reached a precision of 80% and a recall of 78%.
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| 67. |
- Abedpour Dehkordi, Adel, et al.
(författare)
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Interleukin-6 reduces paraoxonase-1 activity in a dose-dependent manner : evidence for a potential novel lipoprotein-based modulatory mechanism
- 2016
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Ingår i: Atherosclerosis. - : Elsevier. - 0021-9150 .- 1879-1484. ; 252, s. E113-E114
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Objectives: The anti-oxidant/anti-inflammatory nature of HDL is mainly associated with paraoxonase-1 (PON1). Previous studies have revealed an inverse correlation between Interleukin-6 (IL-6) and PON1 expression. The current study investigates the effect of IL-6 on serum PON1 activity in vitro, given the potential structural capability of PON1 to host multiple ligands. Methods: PON1 activity was measured spectrophotometrically (234 nm) using paraoxon substrate in the presence of concentrations of IL-6 than control samples. A sequence alignment using the FASTA sequence was manually conducted to identify possible homologies between PON1 and the IL-6-binding protein. Statistical analysis was conducted using GraphPad Prism v5.0. Results: PON1 enzyme activity decreased by 15%, 26% (P<0.05) and 55% (P<0.001) in the presence of 4, 10 and 20 pg/ml of IL-6, respectively. in comparison with the controls. Student t. test was used as statistical method (p<0.05: statistically significant). There are potential homologies between PON1 active sites and know IL-6-binding residues. Conclusions: This study shows that IL-6 directly reduce the PON1 activity in a dose-dependent manner. This observation supports some studies indicating inverse correlation between PON1 and IL-6. However, as opposed to the gene-mediated approach, this study suggest that IL-6 may act directly through specific binding to PON1 (biochemical modulation). X ray crystallography can further scrutinize the present finding.
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| 68. |
- Abel, Olubunmi, et al.
(författare)
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ALSoD : A user-friendly online bioinformatics tool for amyotrophic lateral sclerosis genetics
- 2012
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Ingår i: Human Mutation. - Hoboken, NJ : Wiley-Blackwell. - 1059-7794 .- 1098-1004. ; 33:9, s. 1345-1351
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Tidskriftsartikel (refereegranskat)abstract
- Amyotrophic lateral sclerosis (ALS) is the commonest adult onset motor neuron disease, with a peak age of onset in the seventh decade. With advances in genetic technology, there is an enormous increase in the volume of genetic data produced, and a corresponding need for storage, analysis, and interpretation, particularly as our understanding of the relationships between genotype and phenotype mature. Here, we present a system to enable this in the form of the ALS Online Database (ALSoD at http://alsod.iop.kcl.ac.uk), a freely available database that has been transformed from a single gene storage facility recording mutations in the SOD1 gene to a multigene ALS bioinformatics repository and analytical instrument combining genotype, phenotype, and geographical information with associated analysis tools. These include a comparison tool to evaluate genes side by side or jointly with user configurable features, a pathogenicity prediction tool using a combination of computational approaches to distinguish variants with nonfunctional characteristics from disease-associated mutations with more dangerous consequences, and a credibility tool to enable ALS researchers to objectively assess the evidence for gene causation in ALS. Furthermore, integration of external tools, systems for feedback, annotation by users, and two-way links to collaborators hosting complementary databases further enhance the functionality of ALSoD. Hum Mutat 33:1345-1351, 2012. (c) 2012 Wiley Periodicals, Inc.
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| 69. |
- Abel, Olubunmi, et al.
(författare)
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Credibility analysis of putative disease-causing genes using bioinformatics
- 2013
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 8:6, s. e64899-
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Tidskriftsartikel (refereegranskat)abstract
- Background: Genetic studies are challenging in many complex diseases, particularly those with limited diagnostic certainty, low prevalence or of old age. The result is that genes may be reported as disease-causing with varying levels of evidence, and in some cases, the data may be so limited as to be indistinguishable from chance findings. When there are large numbers of such genes, an objective method for ranking the evidence is useful. Using the neurodegenerative and complex disease amyotrophic lateral sclerosis (ALS) as a model, and the disease-specific database ALSoD, the objective is to develop a method using publicly available data to generate a credibility score for putative disease-causing genes.Methods: Genes with at least one publication suggesting involvement in adult onset familial ALS were collated following an exhaustive literature search. SQL was used to generate a score by extracting information from the publications and combined with a pathogenicity analysis using bioinformatics tools. The resulting score allowed us to rank genes in order of credibility. To validate the method, we compared the objective ranking with a rank generated by ALS genetics experts. Spearman's Rho was used to compare rankings generated by the different methods.Results: The automated method ranked ALS genes in the following order: SOD1, TARDBP, FUS, ANG, SPG11, NEFH, OPTN, ALS2, SETX, FIG4, VAPB, DCTN1, TAF15, VCP, DAO. This compared very well to the ranking of ALS genetics experts, with Spearman's Rho of 0.69 (P = 0.009).Conclusion: We have presented an automated method for scoring the level of evidence for a gene being disease-causing. In developing the method we have used the model disease ALS, but it could equally be applied to any disease in which there is genotypic uncertainty.
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| 70. |
- Abel, Olubunmi, et al.
(författare)
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Development of a Smartphone App for a Genetics Website : The Amyotrophic Lateral Sclerosis Online Genetics Database (ALSoD)
- 2013
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Ingår i: JMIR mhealth and uhealth. - : JMIR Publications, Inc.. - 2291-5222. ; 1:2
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Tidskriftsartikel (refereegranskat)abstract
- Background: The ALS Online Genetics Database (ALSoD) website holds mutation, geographical, and phenotype data on genes implicated in amyotrophic lateral sclerosis (ALS) and links to bioinformatics resources, publications, and tools for analysis. On average, there are 300 unique visits per day, suggesting a high demand from the research community. To enable wider access, we developed a mobile-friendly version of the website and a smartphone app. Objective: We sought to compare data traffic before and after implementation of a mobile version of the website to assess utility. Methods: We identified the most frequently viewed pages using Google Analytics and our in-house analytic monitoring. For these, we optimized the content layout of the screen, reduced image sizes, and summarized available information. We used the Microsoft. NET framework mobile detection property (HttpRequest. IsMobileDevice in the Request. Browser object in conjunction with HttpRequest. UserAgent), which returns a true value if the browser is a recognized mobile device. For app development, we used the Eclipse integrated development environment with Android plug-ins. We wrapped the mobile website version with the WebView object in Android. Simulators were downloaded to test and debug the applications. Results: The website automatically detects access from a mobile phone and redirects pages to fit the smaller screen. Because the amount of data stored on ALSoD is very large, the available information for display using smartphone access is deliberately restricted to improve usability. Visits to the website increased from 2231 to 2820, yielding a 26% increase from the pre-mobile to post-mobile period and an increase from 103 to 340 visits (230%) using mobile devices (including tablets). The smartphone app is currently available on BlackBerry and Android devices and will be available shortly on iOS as well. Conclusions: Further development of the ALSoD website has allowed access through smartphones and tablets, either through the website or directly through a mobile app, making genetic data stored on the database readily accessible to researchers and patients across multiple devices.
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