Paper Info
Title
Activity recognition for emergency care using RFID.
Abstract
We present a system that recognizes human activities during trauma resuscitation, the fast-paced and team-based initial management of injured patients in the emergency department. Most objects used in trauma resuscitation are uniquely associated with tasks. To detect object use, we employed passive radio frequency identification (RFID) for their size and cost advantages. We designed the system setup to ensure the effectiveness of passive tags in such a complex setting, which includes various objects and significant human motion. Through our studies conducted at a Level 1 trauma center, we learned that objects used in trauma resuscitation need to be tagged differently because of their size, shape, and material composition. Based on this insight, we classified the medical items into groups based on usage and other characteristics. Objects in different groups are tagged differently and their data is processed differently. We applied machine-learning algorithms to identify object-state changes and process the RFID data using algorithms specific to object groups. Our results show that RFID has significant potential for automatic detection of object usage in complex and fast-paced settings.
Year
Venue
Keywords
2011
BODYNETS
fast-paced setting,object use,object usage,emergency care,rfid data,complex setting,trauma resuscitation,activity recognition,human activity,passive radio frequency identification,various object,trauma center
Field
DocType
Citations 
Activity recognition,Emergency department,Computer science,Computer security,Trauma resuscitation,Human motion,Human–computer interaction,Trauma center,Radio-frequency identification
Conference
9
PageRank 
References 
Authors
0.55
10
3
Name
Order
Citations
PageRank
Siddika Parlak11136.82
Ivan Marsic271691.96
Randall S. Burd312221.53