Posts Tagged Department of Computer Science

Can a computer make you a better public speaker? Researchers from the Rochester Human Computer Interaction group created a project that aims to do just that. T

Solomon Abiola believes it is well within our reach to predict the spread of infectious diseases like Zika and Ebola with the same accuracy we predict hurricanes. And this fall, he will have a chance to make his case on an international stage.

A teenager with asthma could be coughing, wheezing, and feeling short of breath, but be too engrossed in texting with friends to even notice. Working with colleagues in computer science and engineering, School of Nursing professor Hyekyun Rhee uses this potential problem as a solution.

A team of University and Adobe researchers is outperforming other approaches to creating computer-generated image captions in an international competition. The key to their winning approach? Thinking about words – what they mean and how they fit in a sentence structure – just as much as thinking about the image itself.

By extracting information from Instagram images and hashtags, computer science researchers have shown they can expose patterns of underage drinking more cheaply and faster than conventional surveys.

Node, a new smartphone app developed by Medical Center research associate Solomon Abiola, would track the spread of Ebola and other infectious diseases and allow victims to receive the help they need more quickly.

Speaking in public is the top fear for many people. Now, students and faculty from the Human-Computer Interaction Group have developed an intelligent user interface for “smart glasses” that gives real-time feedback to the speaker on volume modulation and speaking rate, and have made the tool freely available for downloading.

During a political campaign voters will often share their views through pictures posted on social media. A human could recognize one as being a positive portrait of the candidate and the other one negative. Professor ‪Jiebo Luo and his collaborators are training computers to make the same assessments.

In a paper to be presented this week at the American Association for Artificial Intelligence conference in Austin, Texas, computer science professor Jiebo Luo and his colleagues describe a computer program that can analyze “selfie” videos recorded by a webcam as the person engages with social media.

Voice students who want to perfect their vowel vocalizations can get help from a new simple, free application, developed by a group of computer science students, called “Vowel Shapes.”