Exploratory analysis of multidimensional data sets is challenging because of the difficulty in comprehending more than three dimensions. Two fundamental statistical principles for the exploratory analysis are (1) to e...
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Exploratory analysis of multidimensional data sets is challenging because of the difficulty in comprehending more than three dimensions. Two fundamental statistical principles for the exploratory analysis are (1) to examine each dimension first and then find relationships among dimensions, and (2) to try graphical displays first and then find numerical summaries (D.S. Moore, (1999). We implement these principles in a novel conceptual framework called the rank-by-feature framework. In the framework, users can choose a ranking criterion interesting to them and sort 1D or 2D axis-parallel projections according to the criterion. We introduce the rank-by-feature prism that is a color-coded lower-triangular matrix that guides users to desired features. Statistical graphs (histogram, boxplot, and scatterplot) and information visualization techniques (overview, coordination, and dynamic query) are combined to help users effectively traverse 1D and 2D axis-parallel projections, and finally to help them interactively find interesting features
Biologists are aware that sexual dimorphism can result from size differences, shape differences, and differences in the relationship between the two (allometry), but the digital human modeling community has not fully ...
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A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engineering disciplines - development of de...
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A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engineering disciplines - development of design rationale, prototyping, evaluation, and component reuse. However, broader considerations of usage context and appreciation for research and methodological contributions from other disciplines must be strongly factored into course planning. To achieve both goals, we suggest learning objectives, a general strategy and approach using case-based learning.
We explore and extend the metaphor of "piles" to include computationally-enriched piles, portable regions of automation in Dynapad, a multiscale workspace. We describe these collection-management tools and h...
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We explore and extend the metaphor of "piles" to include computationally-enriched piles, portable regions of automation in Dynapad, a multiscale workspace. We describe these collection-management tools and how their design was informed by observing people organizing collections of personal digital photographs
This work proposes a user-oriented approach as a basis for proper information visualization in the production automation area. A total consideration of the user consists of analyzing his tasks, context and profile. In...
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This work proposes a user-oriented approach as a basis for proper information visualization in the production automation area. A total consideration of the user consists of analyzing his tasks, context and profile. In order to implement this in the visualization process, an intelligent framework that is based on a multi agent system is developed. The advantage is that the tasks can be distributed to several small and manageable agents. The long term objective is to develop a working platform for the user-oriented information visualization.
Particle filtering is a very popular technique for sequential state estimation problem. However its convergence greatly depends on the balance between the number of particles/hypotheses and the fitness of the dynamic ...
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Particle filtering is a very popular technique for sequential state estimation problem. However its convergence greatly depends on the balance between the number of particles/hypotheses and the fitness of the dynamic model. In particular, in cases where the dynamics are complex or poorly modeled, thousands of particles are usually required for real applications. This paper presents a hybrid sampling solution that combines the sampling in the image feature space and in the state space via RANSAC and particle filtering, respectively. We show that the number of particles can be reduced to dozens for a full 3D tracking problem which contains considerable noise of different types. For unexpected motions, a specific set of dynamics may not exist, but it is avoided in our algorithm. The theoretical convergence proof [1, 3] for particle filtering when integrating RANSAC is difficult, but we address this problem by analyzing the likelihood distribution of particles from a real tracking example. The sampling efficiency (on the more likely areas) is much higher by the use of RANSAC. We also discuss the tracking quality measurement in the sense of entropy or statistical testing. The algorithm has been applied to the problem of 3D face pose tracking with changing moderate or intense expressions. We demonstrate the validity of our approach with several video sequences acquired in an unstructured environment.
Within the software development process, reuse at the requirements level has become an increasingly more compelling notion. Following a human-centric approach, this work focuses on both requirements and design solutio...
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Within the software development process, reuse at the requirements level has become an increasingly more compelling notion. Following a human-centric approach, this work focuses on both requirements and design solution reuse using a design knowledge repository. In recent years, many improvements have been made to increase reuse through design knowledge repositories, but retrieval of knowledge in the context of design activities continues to be a formidable challenge. We propose a new system, called CERVi, to browse a repository through visualization by exploiting relationships between units of knowledge (in our case, claims). These relationships are key to finding the most appropriate reusable knowledge based on design conditions. Testing shows that CERVi enhances the design knowledge selection process and helps users proceed through structured design decision making. Our approach would be most useful to those interested in unlocking the potential of design knowledge reuse.
We describe the design of a modular system for untethered real-time kinematic motion capture using sensors with inertial measuring units (IMUs). Our system is comprised of a set of small and lightweight sensors. Each ...
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The goal of this panel is to discuss theoretical and methodological approaches that may inform and support the design of temporal aspects of interactive systems. Time Design is an emerging research and development dom...
The goal of this panel is to discuss theoretical and methodological approaches that may inform and support the design of temporal aspects of interactive systems. Time Design is an emerging research and development domain that emphasizes the functional, causal role of time in human control behavior. It draws on a diverse literature on time in cognitive psychology, psychophysics, sociology, computerscience, engineering, human Factors and HCI. Relevant research domains include heuristics and biases in temporal decisions, temporal aspects of human-automation interaction, planning and scheduling, visualisation of temporal information, and the timing of alarms and interruptions.
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