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Design and Development of Customized Video Processing Pipeline

Primary Investigators:
Bobby Bodenheimer
 
Brief Description of Project:
We are developing a customized video pipeline that will help understand the state of a patient during emergency care.  Understanding a patient's state is critical to providing optimal care. However, information loss occurs during patient hand-offs (e.g., emergency services (EMS) transferring patient care to a receiving hospital), which hinders care quality. Augmenting the information flow from an EMS vehicle to a receiving hospital may reduce information loss and improve patient outcomes. Such augmentation requires a noninvasive system that can automatically recognize clinical procedures being performed and send near real-time information to a receiving hospital. We are developing a video pipeline to feed data to recognition algorithms for this purpose.   This pipeline will use AWS, EC2, and NVidia Docker to implement computer vision algorithms to process large sets of data.

Desired Qualifications:
2201 or 2204 required; 3251 desired; knowledge of Python considered an advantage. Any cloud computing or computer vision skills a plus but can be learned during the summer.
 
Nature of Supervision:
This research project will be supervised by the PI much as any undergraduate research project or independent study. In particular, the PI and students will have structured one-to-one meetings every week and additional supervision time as needed. They will also be mentored by senior graduate students within the PI's group, and will participate in weekly group meetings.
 
A Brief Research Plan (period is for 10 weeks):
Weeks 1-3 will be spent getting oriented and learning to use the virtual reality or augmented reality devices. Weeks 4-7 will be spent developing environments and code that support navigation in either virtual reality or augmented reality. Weeks 8-10 will be spent assessing and refining the developed environments and code.
 
Number of Open Slots: 2
 
Contact Information:
Name: Bobby Bodenheimer
Title: Associate Professor
Department: EECS
Campus Address: 368 Jacobs Hall
Mailing Address: Station B, Box #351679 2301 Vanderbilt Place
Nashville, TN 37235-1679
United States
Email: bobby.bodenheimer@vanderbilt.edu
Phone: (615) 322-3555