14th ACM International Conference on Ubiquitous Computing | UbiComp2012 | Pittsburgh, PA, USA. Chair: Don Patterson · Room: 406 An Unsupervised Framework for Sensing Individual and Cluster Behavior Patterns From Human Mobile Data Jiangchuan Zheng, Lionel M. Ni Contextual Conditional Models for Smartphone-based Human Mobility Prediction Trinh Minh Tri Do, Daniel Gatica-Perez Understanding and Prediction of Mobile Application Usage for Smart Phones Choonsung Shin, Jin-Hyuk Hong, Anind K.
Chair: Gillian Hayes · Room: 407 Rethinking the Smart Closet as an Opportunity to Enhance the Social Currency of Clothing Jennifer Rode, Rachel Magee, Melinda Sebastian, Alan Black, Rachel Yudell, Aly Gibran, Nora McDonald, John Zimmerman The French Kitchen: Task-Based Learning in an Instrumented Kitchen Clare J. NOTE: An Investigation of Contents and Use of the Home Wardrobe Lucy Dunne, Jingwen Zhang, Loren Terveen NOTE: Fine-Grained Kitchen Activity Recognition using RGB-D Jinna Lei, Xiaofeng Ren, Dieter Fox.
Display and projection technologies. Simulated reality. Internet der dienste. Magazine_1-2012_14. A bathroom mirror that reminds you to take your medicine, sensors that raise the alarm when someone collapses in their home, and a hotel room that can be converted into a conference room at the touch of a button: These are just some of the things developed by the Fraunhofer inHaus Center, an innovative workshop for intelligent room and building systems which recently celebrated its tenth anniversary. Whenever we get in a car we are immediately surrounded by technology: airbags designed to minimize impact in the event of a collision, electronic immobilizers to stop the car from being stolen, antilock braking systems to stop us losing control on icy streets – plus an ever-increasing array of systems for air conditioning, seat heating and navigation.
Yet you would struggle to find anything like this degree of technological penetration in a typical house or apartment. In fact a lot of technology is availabe that could make our lifes easier. A Day Made of Glass 2: Unpacked. The Story Behind Corning's Vision. Atira: A Responsive Environment for Documents Users. BibTeX Bookmark OpenURL Abstract Abstract. Citations. Fran castillo, Responsive environments | SlideShare. Responsive Environments. Responsive Environments. Responsive Environments Group. Graduate School of Design - Responsive Environments. Responsive Environments. Tangible Media. Hiroshi Ishii, Sean Follmer, Daniel Leithinger, Samuel Luescher, Alex Olwal, Akimitsu Hogge and Jinha Lee Recent research in 3D user interfaces has pushed in two directions: immersive graphics and actuated tangible shape displays. We seek their hybrid by thinking about physical material density as a parameter in 3D rendering.
We want to explore how digital models, handles, and controls can be rendered either as virtual 3D graphics or dynamic physical shapes, and move fluidly and quickly between these states, allowing physical affordances to be rendered only when needed. We were inspired by the different states of water: solid, gas, and liquid. We view digital computation and models as liquid, which can be vaporized into mid-air graphics, or solidified into dynamic physical shape. We also investigate transitions between solid and gas: sublimation and vaporization. Machine Learning and Applied Statistics. The Machine Learning and Applied Statistics (MLAS) group is now part of the Machine Learning Department. Visit that page for the latest as the page below will not be updated moving forward. Historically the group has focused on building methods and tools to learn from data. By building software that automatically learns from data, we enable applications to behave more intelligently and enable users to become more productive.
We strive to advance the state of the art in machine learning and statistics, develop fast scalable algorithms for learning and mining, implement portions our work in toolkits, and apply our work to numerous applications. Online advertising/eCommerce: We have applied various learning algorithms and auction design principles to problems in the online advertising and eCommerce arenas including matching algorithms, keyword extraction, keyword similarity, advertisiment relevance, advertiser quality, and click-through prediction.
Selected Publications: W. D. T. T. W. I. Research: Computational User Experiences. Interactively Stylizing Camera Motion Neel Joshi, Dan Morris, Michael Cohen Proceedings of ACM CHI 2014, to appear. RecoFit: Using a Wearable Sensor to Find, Recognize, and Count Repetitive Exercises Dan Morris, T. Scott Saponas, Andrew Guillory, Ilya Kelner Understanding Quantified-Selfers’ Practices in Collecting and Exploring Personal Data Eun Kyoung Choe, Nicole B. Proceedings of ACM CHI 2014, to appear. DemoWiz: Re-Performing Software Demonstrations for a Live Presentation Pei-Yu (Peggy) Chi, Bongshin Lee, Steven M. Persuasive Performance Feedback: The Effect of Framing on Self-Efficacy Eun Kyoung Choe, Bongshin Lee, Sean Munson, Wanda Pratt, Julie A.
Proceedings of the AMIA Annual Symposium, November 2013. SketchStory: Telling More Engaging Stories with Data through Freeform Sketching Bongshin Lee, Rubaiat Habib Kazi, Greg Smith IEEE Transactions on Visualization and Computer Graphics, 19(12): 2416-25, December 2013. A Deeper Understanding of Sequence in Narrative Visualization A.J. T. A.J. Natural Interaction Research. Interactive Visual Media.
The Interactive Visual Media Group develops state-of-the-art algorithms for digital photography and video. Our goal is to provide innovative experiences and tools for such media, for both consumers and visual media professionals. The mission of the Interactive Visual Media Group is to develop state-of-the-art algorithms for digital photography and video with the goal of providing innovative experiences and tools for such media. Our target audience includes both consumers and visual media professionals.
We develop experimental technology to analyze, retrieve, and manipulate media in order to create compelling new content or organize existing content. This expands the way in which people can interact with their personal media by providing novel photo and video creation and integration tools, as well as engaging viewing/playback experiences. Our core strengths lie in the areas of computer vision, image processing, and statistical signal processing, namely: Responsive environments | Information Futures.