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Amir H. Meghdadi
University of Manitoba
21Publications
8H-index
170Citations
Publications 21
Newest
Published on Jul 26, 2019 in INTERACT (International Conference on Human-Computer Interaction)
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Published on Jan 15, 2019in Frontiers in Human Neuroscience 2.87
Greg Rupp , Chris Berka15
Estimated H-index: 15
+ 7 AuthorsThomas D. Marcotte44
Estimated H-index: 44
(UCSD: University of California, San Diego)
The number of older drivers is steadily increasing, and advancing age is associated with a high rate of automobile crashes and fatalities. This can be attributed to a combination of factors including decline in sensory, motor, and cognitive functions due to natural ageing or neurodegenerative diseases such as HIV-Associated Neurocognitive Disorder (HAND). Current clinical assessment methods only modestly predict impaired driving. Thus, there is a need for inexpensive and scalable tools to predic...
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Amir H. Meghdadi8
Estimated H-index: 8
,
Djordje Popovic11
Estimated H-index: 11
+ 3 AuthorsAjay Verma9
Estimated H-index: 9
Objective: To demonstrate the utility of rheoencephalography (REG) for measuring cerebral blood flow and fluid dynamics during different stages of sleep. Methods: Anteroposterior cranial electrical impedance was measured with concurrent polysomnography in a group of healthy subjects during sleep. Transcranial electrical impedance was characterized by measuring the peak-to-trough and envelope of the filtered pulsative REG signal as well as its frequency. The sensitivity of the REG amplitude to ch...
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Shani Waninger2
Estimated H-index: 2
,
Chris Berka15
Estimated H-index: 15
+ 6 AuthorsAjay Verma9
Estimated H-index: 9
Abstract Introduction The objective of the study is to validate attention and memory tasks that elicit event-related potentials (ERPs) for utility as sensitive biomarkers for early dementia. Methods A 3-choice vigilance task designed to evaluate sustained attention and standard image recognition memory task designed to evaluate attention, encoding, and image recognition memory were administered with concurrent electroencephalography acquisition to elicit ERPs in mild cognitive impairment (MCI) a...
3 Citations Source Cite
Published on Nov 24, 2017
Amir H. Meghdadi8
Estimated H-index: 8
(UM: University of Manitoba),
Reza Fazel-Rezai17
Estimated H-index: 17
(National Research Council),
Yahya Aghakhani3
Estimated H-index: 3
(UM: University of Manitoba)
1 Citations
Amir H. Meghdadi8
Estimated H-index: 8
(UM: University of Manitoba),
Pourang Irani28
Estimated H-index: 28
(UM: University of Manitoba)
We propose a novel video visual analytics system for interactive exploration of surveillance video data. Our approach consists of providing analysts with various views of information related to moving objects in a video. To do this we first extract each object's movement path. We visualize each movement by (a) creating a single action shot image (a still image that coalesces multiple frames), (b) plotting its trajectory in a space-time cube and (c) displaying an overall timeline view of all the ...
26 Citations Source Cite
Amir H. Meghdadi8
Estimated H-index: 8
(UM: University of Manitoba),
James F. Peters33
Estimated H-index: 33
(University of Hyderabad)
Purpose – The purpose of this paper is to demonstrate the effectiveness and advantages of using perceptual tolerance neighbourhoods in tolerance space‐based image similarity measures and its application in content‐based image classification and retrieval.Design/methodology/approach – The proposed method in this paper is based on a set‐theoretic approach, where an image is viewed as a set of local visual elements. The method also includes a tolerance relation that detects the similarity between p...
3 Citations Source Cite
Published on Jan 1, 2012
Amir H. Meghdadi8
Estimated H-index: 8
,
James F. Peters33
Estimated H-index: 33
This research report introduces the POINCaRe image analysis system named after Jules Henri Poincare (1854 1912). This system provides a variety of image analysis approaches and instantiates the perception of nearness between objects in a visual field. The current version of POINCaRe uses neighborhoods of visual elements (small subimages) in determining the degree of nearness of pairs of nonempty sets. With this tool, it is possible to engage in content-based image retrieval (CBIR) from a near se...
Published on Jan 1, 2012
Amir H. Meghdadi8
Estimated H-index: 8
(UM: University of Manitoba)
The problem addressed in this research is how to quantify the notion of similarity between two images with the main focus on content-based image retrieval (CBIR). The main strategy used here is a Near Set approach where each image is considered as a set of visual elements that can be described with a set of visual descriptions (features). The similarity between images is then defined as the nearness between sets of elements based on their descriptions. The main contribution of this thesis, is to...
3 Citations
Published on Sep 1, 2011in Theoretical Computer Science 0.77
Sheela Ramanna17
Estimated H-index: 17
(UM: University of Manitoba),
Amir H. Meghdadi8
Estimated H-index: 8
(UM: University of Manitoba),
James F. Peters33
Estimated H-index: 33
(UM: University of Manitoba)
The problem considered in this paper is how to determine the degree of nearness between complex visual objects. The proposed solution to this problem stems from a natural computing approach to solving the visual acuity problem in terms of a granular representation of visual information that is quantifiable as well as understandable for humans. This is accomplished via a near rough set framework in the approximation of a pair of disjoint sets and measurement of distances between sets using variou...
10 Citations Source Cite
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