Project

# Title Team Members TA Documents Sponsor
78 HCESC Sponsored Comprehensive Medical Tool Attachment for VR
Corey Zeinstra
Mingrui Zhou
Vignesh Gopal
Mengze Sha design_document2.pdf
design_document3.pdf
final_paper1.pdf
proposal1.pdf
The medical simulation training world is growing fast and using VR to train doctors and other medical professionals is a worthwhile endeavor. However doctors train a lot based on finger dexterity and hand motions and off the shelf VR controllers are ill equipped to train medical professionals. Doctors have complained about these controllers feeling alien and the fact that a VR controller feels nothing like syringe or an ambu bag or a laryngoscope takes away from the quality and immersiveness of the VR simulations. Our project would be to create an attachment that could go on numerous medical tools, like a syringe or ampu bag, and would be able to not only track the basic position and rotation but go further and track linear motion, or barometric pressure, or force and acceleration, and then relay that information into a VR training application. For example a user would be in VR and would be able to pick up and track a syringe. The syringe would be mapped into VR through a series of sensors and then the users sight and feel would match up. The syringe would be able to track how much the user pushed on it and how much fluid would be injected in order to get a more accurate and immersive feel of the procedure. The actual attachment we create would have a suite of sensors so that it could be placed on a number of common medical tools and map all of their specific important information into VR. While at a medical conference recently some of the people at HCESC got numerous complaints about the current controller interface for their applications and none of the other groups presenting seemed to have a good solution so I believe this idea is both novel and unique.

RFI Detector

Jamie Brunskill, Tyler Shaw, Kyle Stevens

RFI Detector

Featured Project

Problem Statement:

Radio frequency interference from cell phones disrupts measurements at the radio observatory in Arecibo, Puerto Rico. Many visitors do not comply when asked to turn their phones off or put them in airplane mode.

Description:

We are planning to design a handheld device that will be able to detect radio frequency interference from cell phones from approximately one meter away. This will allow someone to determine if a phone has been turned off or is in airplane mode.

The device will feature an RF front end consisting of antennas, filters, and matching networks. Multiple receiver chains may be used for different bands if necessary. They will feed into a detection circuit that will determine if the power within a given band is above a certain threshold. This information will be sent to a microcontroller that will provide visual/audible user feedback.

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