Sun HPC Consortium: Day III Customer Talks

In addition to numerous Sun technology and product talks, we had one final customer talk today here at the Sun HPC Consortium in Tampa.

Sensor Driven HPC for Medical Applications

George Zouridakis (left) and Marc Garbey (right) from the Department of Computer Science at the University of Houston spoke about the use of sensor technology for non-invasive and remote sensing of biomedical data. They ask a basic question: Can an individual's internal state be assessed via remote sensing or other non-invasive sensing technology?

Preliminary results indicate this is possible through a multi-modal approach. Researchers at the University are exploring several areas, among them the use of infrared to monitor human physiology from a distance--for example, heart rate. Others are looking at multimodal facial recognition and geometric modeling to extract facial feature information.

By merging data from MRI, optical and other imaging techniques and routing this sensor data to their large compute cluster, University researchers are able to do near real-time analysis with the ultimate aim of understanding brain function, detecting cognitive impairment, or assessing the state of mind of subjects from a distance. I would imagine that such remote sensing would be very interesting to TSA and other agencies for obvious reasons.

Some interesting tidbits. Heart rate is assessed by motion tracking a moving subject's carotid artery. Breathing rate can be assessed by monitoring the nasal area. And capturing certain data in the area of the eyes can be used to assess stress level.


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