Avin Pattath

Purdue University, West Lafayette, Indiana, United States

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Publications (7)1.23 Total impact

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    ABSTRACT: This concept of pre-conditioning data (utilizing a power transformation as an initial step) for analysis and visualization is well established within the statistical community and is employed as part of statistical modeling and analysis. Such transformations condition the data to various inherent assumptions of statistical inference procedures, as well as making the data more symmetric and easier to visualize and interpret. In this paper, we explore the use of the Box-Cox family of power transformations to semi-automatically adjust visual parameters. We focus on time series scaling, axis transformations and color binning for choropleth maps. We illustrate the usage of this transformation using various examples, and discuss the value and some issues in semi-automatically using these transformations for more effective data visualization.
    IEEE transactions on visualization and computer graphics. 02/2012;
  • Avin Pattath
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    ABSTRACT: Mobility and situational awareness enabled by mobile devices make them attractive platforms for in-field operations. Until recently, form factor limitations have confined these devices to being just data-collection and display agents for in-field response and investigation operations. However, recent advances in mobile technology have enabled the usage of these devices for in-situ visual data analytics, enabling faster communication and knowledge discovery. Nevertheless, in order to facilitate this, intuitive mobile visualization and corresponding interaction techniques need to be developed and evaluated for effectiveness.^ This thesis presents a task-based approach to developing interactive visualization techniques for data exploration and analysis on mobile devices. According to this approach, application scenarios and common tasks are identified and categorized into existing taxonomies, novel mobile visual analytic solutions are developed, and these solutions are evaluated for effectiveness. Using this approach, three prototype solutions were developed, namely, SafeTogether, NetworkVis and MobileVALET. SafeTogether is a personal in-field response tool designed as a novel single-handed interface usable without prior training. Usability studies indicated users were able to learn and use the interface single-handedly without being trained. NetworkVis is an infield investigation tool designed for monitoring and analyzing network data. Field evaluations at the Ross-Ade stadium with network analysts demonstrated the utility of this system in discovering new patterns in network traffic. MobileVALET is an infield geospatial analysis tool designed using a novel focus + context-based technique for linked spatio-temporal and statistical visualization. User evaluation of this system revealed that this interface was significantly better over existing mobile geospatial visualization techniques for spatial analysis tasks. Finally, the task-based approach we followed is developed into a framework for designing generic task-adapted mobile visual analytics systems. ^
    01/2012;
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    ABSTRACT: Limited display area creates unique challenges for information presentation and user exploration of data on mobile devices. Traditional scrolling, panning and zooming interfaces pose significant cognitive burdens on the user to assimilate the new context after each interaction. To overcome these limitations, we examine the uses of "focus + context" techniques, specifically for performing visual analytic tasks with geospatial data on mobile devices. In particular, we adapted the translucency-based "focus + context" technique called "blending lens" to mobile devices. The adaptation enhances the lens functionalities with dynamically changing features based on users' navigation intentions, for mobile interaction. We extend the concept of "spatial context" of this method to include relevant semantic content to aid spatial navigation and analytical tasks such as finding related data. With these adaptations, the lens can be used to view spatially clustered results of a search query, related data based on various proximity functions (such as distance, category and time) and other correlative information for immediate in-field analysis, all without losing the current geospatial context.
    Proc SPIE 02/2009;
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    ABSTRACT: Interactive visual presentation of information can help an analyst gain faster and better insight from data. When combined with situational or context information, visualization on mobile devices is invaluable to in-field responders and investigators. However, several challenges are posed by the form-factor of mobile devices in developing such systems. In this paper, we classify these challenges into two broad categories -issues in general mobile computing and issues specific to visual analysis on mobile devices. Using NetworkVis and Infostar as example systems, we illustrate some of the techniques that we employed to overcome many of the identified challenges. NetworkVis is an OpenVG-based real-time network monitoring and visualization system developed for Windows Mobile devices. Infostar is a flash-based interactive, real-time visualization application intended to provide attendees access to conference information. Linked time-synchronous visualization, stylus/button-based interactivity, vector graphics, overview-context techniques, details-on-demand and statistical information display are some of the highlights of these applications.
    Proc SPIE 03/2008;
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    ABSTRACT: Illustrative rendering is a widely used visualization technique to display conceptual information, describe problems and give insight to solve them efficiently in science, engineering and the arts. Pro- viding users with automated tools to generate illustrations at will is a challenging problem. Adapting illustrative rendering techniques from desktop platforms to mobile devices creates many hardware and software issues. In this paper, we discuss adaptations of differ- ent illustration techniques for rendering 3D models directly on mo- bile devices for education and training purposes. The implementa- tions of these illustration techniques address the limitations widely encountered in low-end devices. An interactive mobile graphical and textual rendering system with a toolkit of different illustration modes has been implemented. The toolkit we propose allows users to view interior structures of 3D models and instructional proce- dures on mobile devices.
    IEEE Computer Graphics and Applications 01/2007; 27(3):48-56. · 1.23 Impact Factor
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    ABSTRACT: Mobile devices are rapidly gaining popularity due to their small size and their wide range of functionality. With the constant improvement in wireless network access, they are an attractive option not only for day to day use. but also for in-field analytics by first responders in widespread areas. However, their limited processing, display, graphics and power resources pose a major challenge in developing effective applications. Nevertheless, they are vital for rapid decision making in emergencies when combined with appropriate analysis tools. In this paper, we present an efficient, interactive visual analytic system using a PDA to visualize network information from Purdue's Ross-Ade Stadium during football games as an example of in-held data analytics combined with text and video analysis. With our system, we can monitor the distribution of attendees with mobile devices throughout the stadium through their access of information and association/disassociation from wireless access points, enabling the detection of crowd movement and event activity. Through correlative visualization and analysis of synchronized video (instant replay video) and text information (play statistics) with the network activity, we can provide insightful information to network monitoring personnel, safety personnel and analysts. This work provides a demonstration and testbed for mobile sensor analytics that will help to improve network performance and provide safety personnel with information for better emergency planning and guidance
    IEEE Symposium On Visual Analytics Science And Technology, IEEE VAST 2006, October 31-November 2, 2006, Baltimore, Maryland, USA; 01/2006
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    Avin Pattath, David Ebert
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    ABSTRACT: A variety of mobile devices are available today with varied func- tionalities ranging from basic phone to integrated cameras, touch screens and full-fledged mobile operating systems. The ability to easily program recent versions of mobile devices (like PDAs, smart- phones, etc.) make them a very attractive option to run custom ap- plications, especially, those that need to be executed on the go. One such critical application area is in-field analytics, where we should not only provide easy access to information, but also enable infor- mation analysis to some extent. In this project we present a real-time scalable interactive visual analysis system for network data with other correlated information. It leverages the portability of small screen devices, while banking on its increased computational capabilities on par with a PDA. We use network information collected from Purdue's Ross-Ade Sta- dium during football games combined with associated video data analysis. Our previous version of the system (6) was based on OpenGL ES and hence did not scale very well across devices. The current system primarily targets smartphones of various resolutions with button-based user inputs. It is designed in OpenVG to make it scalable across all screen resolutions and to provide a consis- tent interface across various devices. Using the overview+detail (8) approach, it provides fast access to summarized information at a glance and allows a user to explore the information space in detail for detection and analysis of anomalies.