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GVU Center

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https://hdl.handle.net/1853/70651

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Organizational Unit

Interactive Media Technology Center

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https://finding-aids.library.gatech.edu/agents/corporate_entities/1093

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Publication Search Results

Now showing 1 - 10 of 220

Laboratory learning: Model-based reasoning in biomedical engineering research and instructional laboratories

(Georgia Institute of Technology, 2009-09-26) Nersessian, Nancy J. ; Newstetter, Wendy C. ; Osbeck, Lisa ; Malone, Kareen
CENTRIST: A Visual Descriptor for Scene Categorization

(Georgia Institute of Technology, 2009-07-23) Wu, Jianxin ; Rehg, James M.

CENTRIST (CENsus TRansform hISTogram), a new visual descriptor for recognizing topological places or scene categories, is introduced in this paper. We show that place and scene recognition, especially for indoor environments, require its visual descriptor to possess properties that are different from other vision domains (e.g. object recognition). CENTRIST satisfy these properties and suits the place and scene recognition task. It is a holistic representation and has strong generalizability for category recognition. CENTRIST mainly encodes the structural properties within an image and suppresses detailed textural information. Our experiments demonstrate that CENTRIST outperforms the current state-of-the art in several place and scene recognition datasets, compared with other descriptors such as SIFT and Gist. Besides, it is easy to implement. It has nearly no parameter to tune, and evaluates extremely fast.
Discovery in distributed cardiac imagebases

(Georgia Institute of Technology, 2009-06-09) Ezquerra, Norberto F.
ITR collaborative research: Indexing, retrieval, and use of large motion databases

(Georgia Institute of Technology, 2009-02-25) Bruckman, Amy S.
Recognizing Sign Language from Brain Imaging

(Georgia Institute of Technology, 2009) Mehta, Nishant A. ; Starner, Thad ; Jackson, Melody Moore ; Babalola, Karolyn O. ; James, George Andrew

The problem of classifying complex motor activities from brain imaging is relatively new territory within the fields of neuroscience and brain-computer interfaces. We report positive sign language classification results using a tournament of pairwise support vector machine classifiers for a set of 6 executed signs and also for a set of 6 imagined signs. For a set of 3 contrasted pairs of signs, executed sign and imagined sign classification accuracies were highly significant at 96.7% and 73.3% respectively. Multiclass classification results also were highly significant at 66.7% for executed sign and 50% for imagined sign. These results lay the groundwork for a brain-computer interface based on imagined sign language, with the potential to enable communication in the nearly 200,000 individuals that develop progressive muscular diseases each year.
An Ethical Governor for Constraining Lethal Action in an Autonomous System

(Georgia Institute of Technology, 2009) Arkin, Ronald C. ; Ulam, Patrick D. ; Duncan, Brittany

The design, prototype implementation, and demonstration of an ethical governor capable of restricting lethal action of an autonomous system in a manner consistent with the Laws of War and Rules of Engagement is presented.
Responsibility and Lethality for Unmanned Systems: Ethical Pre-mission Responsibility Advisement

(Georgia Institute of Technology, 2009) Arkin, Ronald C. ; Wagner, Alan R. ; Duncan, Brittany

This paper provides an overview, rationale, design, and prototype implementation of a responsibility advisor for use in autonomous systems capable of lethal target engagement. The ramifications surrounding the potential use of operator overrides is also presented. The results of this research have been integrated into the MissionLab mission specification and demonstrated on a relevant military scenario.
An Ethical Adaptor: Behavioral Modification Derived from Moral Emotions

(Georgia Institute of Technology, 2009) Arkin, Ronald C. ; Ulam, Patrick D.

This paper presents the motivation, basis and a prototype implementation of an ethical adaptor capable of using a moral affective function, guilt, as a basis for altering a robot’s ongoing behavior. While the research is illustrated in the context of the battlefield, the methods described are believed generalizable to other domains such as eldercare and are potentially extensible to a broader class of moral emotions, including compassion and empathy.
Visualization of Exception Handling Constructs to Support Program Understanding

(Georgia Institute of Technology, 2009) Shah, Hina ; Görg, Carsten ; Harrold, Mary Jean

This paper presents a new visualization technique for supporting the understanding of exception-handling constructs in Java programs. To understand the requirements for such a visualization, we surveyed a group of software developers, and used the results of that survey to guide the creation of the visualizations. The technique presents the exception-handling information using three views: the quantitative view, the flow view, and the contextual view. The quantitative view provides a high-level view that shows the throw-catch interactions in the program, along with relative numbers of these interactions, at the package level, the class level, and the method level. The flow view shows the type-throw-catch interactions, illustrating information such as which exception types reach particular throw statements, which catch statements handle particular throw statements, and which throw statements are not caught in the program. The contextual view shows, for particular type-throw-catch interactions, the packages, classes, and methods that contribute to that exception-handling construct. We implemented our technique in an Eclipse plugin called EnHanCe and conducted a usability and utility study with participants in industry.
Using In-Home Power Lines to Extend the Range of Low-Power Wireless Devices

(Georgia Institute of Technology, 2009) Stuntebeck, Erich P. ; Robertson, Thomas ; Abowd, Gregory D. ; Patel, Shwetak N.

This work demonstrates the feasibility of using existing in-home electrical wiring to extend the operational range of certain wireless devices. Specifically, a wireless keyboard operating at 27 MHz, which has an operational range of 1.5 – 2 meters on its own, was extended to work throughout a 3-story 4,000 square foot / 371 square meter home by coupling the antenna port on its receiver to the power lines. Coupling between the keyboard and the power lines occurred over the air, and coupling at the receiver was accomplished capacitively by simply wrapping a wire connected to the receiver’s antenna port several times around a standard electrical device cord plugged into a wall socket. This phenomenon of the power line as a communications infrastructure for inexpensive and lowpower wireless devices has a variety of interesting potential avenues of research in the home.