Robotic First aid response - Revision history

Anita.santanna at 12:41, 25 September 2015

2015-09-25T12:41:28Z

2015-01-19T01:12:26Z

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@@ Line 15: / Line 15: @@
 |Author=Tianyi Zhang and Yuwei Zhao
 |Level=Master
-|Status=Ongoing
+|Status=Finished
 }}
 Goal: The capability for a robot in a home or facility to be able to recognize a person's health state when an emergency such as a fall has occurred, as a first step toward endowing robots with critical first aid skills.

@@ Line 9: / Line 9: @@
 (fall detection example) Simin Wang, Salim Zabir, Bastian Leibe. Lying Pose Recognition for Elderly Fall Detection
 (breathing recognition) Phil Corbishley and Esther Rodriguez-Villegas. 2008. Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 55, NO. 1, JANUARY 2008
-|Prerequisites=Image analysis, sensors systems, learning systems, cooperating intelligent
+|Prerequisites=Image analysis, sensors systems, learning systems, cooperating intelligent systems or similar;
 Some ability to work with software (installing libraries and writing code), and interest in robots, healthcare, or recognition
 |Supervisor=Martin Cooney, Anita Sant'Anna

@@ Line 9: / Line 9: @@
 (fall detection example) Simin Wang, Salim Zabir, Bastian Leibe. Lying Pose Recognition for Elderly Fall Detection
 (breathing recognition) Phil Corbishley and Esther Rodriguez-Villegas. 2008. Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 55, NO. 1, JANUARY 2008
-|Prerequisites=Requirement: some ability to work with software (installing libraries and writing code), and interest in robots, healthcare, or recognition
+|Prerequisites=Image analysis, sensors systems, learning systems, cooperating intelligent
 |Supervisor=Martin Cooney, Anita Sant'Anna
 |Examiner=Antanas Verikas

@@ Line 1: / Line 1: @@
 {{StudentProjectTemplate
-|Summary=A robot system which assesses a person's state of health as a step toward first aid/ems
+|Summary=A robot system which assesses a person's state of health as a first step toward autonomous robotic first aid/ems
 |Programme=MSc in Embedded and Intelligent Systems, 30 credits
 |Keywords=robot first aid, injury localization, anomalous breathing recognition, bleeding recognition

@@ Line 16: / Line 16: @@
 |Status=Ongoing
 }}
-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 to allow assessment of a person's state.
+Goal: The capability for a robot in a home or facility to be able to recognize a person's health state when an emergency such as a fall has occurred, as a first step toward endowing robots with critical first aid skills.
 Motivation:
-Robots need to be useful.
+Robots need to be useful, and one of the most useful things a robot can do is look after people's health and safety.
-One of the most useful things a robot can do is look after people's health and safety.
+A quick and meaningful assessment of a person's state during first response to a possible emergency could help save lives and prevent much anguish.
-Challenge: the first thing which should be done is to assess a victim's state, but this is very difficult;
+Challenge: the first thing which should be done is to assess a victim's state, but this is very difficult even for humans;
 e.g., for a person who has fallen and unresponsive:
 ) where did they hurt themselves?
 ) are they breathing normally?
 ) are they bleeding?
-Approach: the student will perform three steps
 ) 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