Robotic First aid response
From ISLAB/CAISR
Jump to navigationJump to search| Title | Robotic First aid response |
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| Summary | Robotic First aid response |
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| Supervisor | Martin Cooney, Anita Sant'Anna |
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| Status | Open |
Goal: The capability for a robot in a home or facility to be able to care for people in the event of a health emergency, by possessing some critical first aid skills.
Motivation: a quick first response could save lives
Challenge: how to assess a victim's state is very difficult E.g., for a person who has fallen and unresponsive:
1) where did they hurt themselves? 2) are they breathing normally? 3) are they bleeding?
Approach: the student will perform three steps
1) obtain kinect data (skeleton and depth) of a human-shaped dummy falling in different ways
create a recognition system (possibly using LIBSVM) to classify if the head has been hurt
2) record sound samples based on videos of "agonal" respiration, tachypnea (fast breathing),
and regular breathing from YouTube
calculate mfcc features with htk
create a recognition system (possibly using LIBSVM) to classify kind of breathing
3) use a robot (possibly Turtlebot) to drag a white glove over a dummy (red ink will symbolize
blood at some areas) to detect the presence/location of deadly bleeding
Evaluation of system: accuracy or similar metric for how often the system detects head trauma, breathing, bleeding
Requirement: some ability to work with software (installing libraries and writing code), and interest in robots, healthcare, or recognition
Deliverable: an intelligent robot system which can assess a victim's state (thesis/report, code, video)