1. Iam Langleben and Liana Martins-Medina presented their project entitled “The Fifth Sense, A Novel Aid Device for Visually Impaired People, Translating Computer Vision into Surround Sound for Obstacle Detection” (SOFT044T).
I tried out the system that used a conventional set of headphones driven by the microcontroller-based system. The depth map started with a VGA resolution and was scaled to an 8 × 6 depth map. The challenge they encountered was that surround sound and the human ear does a good job of horizontal dispersion, but not as much in the vertical space. This lets someone easily hear about a tone noting an object in front or two on one side, but not how high it might be.
After a little discussion, we decided that a melodic tone from a low to high note could provide additional vertical information. It sounded, pun intended, like a good idea for future research. However, they asked me to wait while they edited their Python code. In a few minutes, they had the changes made and I was able to easily detect when an object might be down low, up high, or something like a wall via a glissando. That was rather impressive.
I also stopped by to chat with Ari Joseph Firester, who attends Hunter College High School in New York, N.Y. His project, WormBot: Mimicking Earthworm Locomotion (ROBO053), was the recipient of the IEEE Foundation Presidents' Scholarship Award of $10,000 (Fig. 2). The modular, flexible robot has retractable claws that move it forward. Ari used pneumatics to power the robot; each module had eight claws. Air pressure also provided feedback in addition to powering the system.