Modern phones are being equipped with numerous sensors such as cameras, microphones, GPS, accelerometers, and health monitors. Assistant Professor Romit Roy Chourhury is designing a "Virtual Information Telescope," where the "lenses" of the telescope are metaphors for the sensors in people's mobile phones. Using such a telescope, an Internet user will be able to zoom into any part of the populated world, and observe events of interest. Users will be able to direct queries to phones located in a given region, and receive real-time responses through automatic sensing or explicit human participation. Example domains that may benefit from this platform include education, healthcare, tourism, disaster management, environment conservation, and social collaborations. Perhaps more fundamentally, a virtual information telescope may change the way we browse, query, learn, and process information. Interested in more information? Check out the Micro-Blog website at
http://synrg.ee.duke.edu/microblog.html Example Program: Detect landmines or help people hear?
One of the study concentrations offered within the Electrical and Computer Engineering program at Duke is Signal Processing. In Dr. Leslie Collins’ SSPACISS laboratory, signal processing is used in a wide variety of applications including subsurface sensing, or landmine detection, unexploded ordinance detection, analysis of brain-computer interface data, gun shot detection and classification, and cochlear implant research.
In addition to signal processing and data analysis, members of the SSPACISS lab also participate in experimental design and implementation. Pictured here is a cochlear implant user participating in a study in the lab that is aimed at improving speech recognition in noisy environments and music perception. Subjects that come to the lab for testing perform psychophysical tasks that are used to better understand the perceptual responses to different types of electrical stimuli, and then data from those tasks are used to tune sound processing strategies to each specific subject. These tuned strategies are then evaluated through a variety of speech and music tasks, and subjects are given the opportunity to provide feedback about the algorithms. More information on cochlear implant research at Duke, as well as the other areas of signal processing research that go on in Dr. Collins’ lab may be found on the SSPACISS website: http://www.ee.duke.edu/research/collins/
Or, check out these posters created by sophomores working with Dr. Collins. Using Acoustic Models for Sound Localization with Bilateral Cochlear Implants, and Computational Models for Nerve Responses to Electrical Stimulation.