|Film, Identify, Track, Tag, Sense, Fly
This research from the Microsoft Research Computational Ecology and Environmental Sciences group aims to dramatically expand the amount and kind of data we can gather from the natural world. Zootracer uses vision and machine learning to track arbitrary objects from video. Designed to assist environmental scientists, Zootracer, a tool for general use, is complemented by Mataki, an unprecedentedly cheap, light (seven grams), and reprogrammable GPS tracking and sensing device. Uniquely, Mataki has peer-to-peer data sharing and, hence, data retrieval that can be achieved on entire collections of device-monitored animals. The research also uses an unmanned aerial drone with an onboard camera to follow coordinates broadcast by a Mataki device attached to an animal.
|Microsoft Research and Zombie-Based Learning @ SXSWedu
David Hunter and Roy Zimmermann talk about the workshop that they will be running at SXSWedu on Wednesday, March 5, 2014.
|How to Write a Great Research Paper
Writing papers and giving talks are key skills for any researcher, but they aren’t easy. In this pair of presentations, I’ll describe simple guidelines that I follow for writing papers and giving talks, which I think may be useful to you too. I don’t have all the answers—far from it—and I hope that the presentation will evolve into a discussion in which you share your own insights, rather than a lecture.
|Stroke recovery gets a boost from Kinect
Stroke Recovery with Kinect is a collaborative project between Microsoft Research Asia and Seoul National University—with funding from the Korean Government Collaboration Program—that provides a virtual reality system to help stroke survivors improve their upper-limb motor functioning in the comfort of their own home.
|A Prediction Engine for the Planet
Like many technology companies, Microsoft has a focus on collecting and analysing information in order to better understand and serve consumers’ needs. In the Computational Ecology and Environmental Science group we have a similarly strong focus - but ours is on information about the future of the planet. In our group we are working on collecting the data, developing the science, engineering the software, and constructing the models necessary to piece together a prediction engine for the environment. Ours is a computational system capable of delivering predictions about key planetary parameters - from biodiversity to carbon, and from the climate to crop yields - in the browser and on the cloud. In this talk I will demonstrate what we have achieved in providing access to environmental data, predictions, and decision support tools ‘at the speed of thought’. There is much to be done, but we see a near future where such a prediction engine provides decision makers with the actionable information they need to preserve the planetary conditions we depend upon.
|The Future of Affective Computing
What if a wearable device could tell you when you need to step back from the keyboard and take a break before you respond to an email? Or if you could wear a device that showed you stress levels before you start talking about bills? For those who suffer from hypertension, PTSD, or autism, this information can help apply metrics to an important facet of health. These are just some of the ideas researchers are thinking about in the VIBE group (Visualization and Interaction for Business and Entertainment) within Microsoft Research.
AffectAura is a desktop program that streams several inputs from the user to determine an affective state. Another project called MoodWings applies this type of data to a physical talisman, like a butterfly on your wrist. While you may not know something is getting you worked up, your MoodWings butterfly will let you know by increasing wing speed.
Mary Czerwinski, Asta Roseway, and Paul Johns show us some of the research projects they are working in the VIBE group.
|Students develop analytics engine for the Lab of Things
University College London students have developed an analytics engine to scrutinize data collected from experiments and research applications running on the Lab of Things (LoT) research platform. The LoT enhances field studies in such diverse disciplines as healthcare, energy management, and home automation. It not only makes deployment and monitoring easier, it also simplifies the analysis of experimental data and promotes sharing of data, code, and study participants, further lowering the barrier to evaluating ideas in a diverse set of environments where people live, work, or play.
|Microsoft Research Internships
Microsoft Research interns describe the distinct advantages of having an intern experience at Microsoft, including direct interaction with product groups and invaluable impact on their PhD studies. Microsoft Research mentors also weigh in on what they look for in an intern and what makes the program unique and so fulfilling – for the students and for Microsoft.