Title

Activity recognition for medical teamwork based on passive RFID

Document Type

Conference Proceeding

Publication Date

6-8-2016

Journal

2016 IEEE International Conference on RFID, RFID 2016

DOI

10.1109/RFID.2016.7488002

Keywords

activity recognition; machine learning; object-use detection; passive RFID; tagging strategies

Abstract

© 2016 IEEE. We describe a novel and practical activity recognition system for dynamic and complex medical settings using only passive RFID technology. Our activity recognition approach is based on the use of objects that are specific for a given activity. The object-use status is detected from RFID data and the activities are predicted from the statuses of use of different objects. We tagged 10 objects in a trauma room of an emergency department and recorded RFID data for 10 actual trauma resuscitations. More than 20,000 seconds of data were collected and used for analysis. The system achieved a 96% overall accuracy with a 0.74 F-score for detecting use of 10 common resuscitation objects and 95% accuracy with a 0.30 F Score for activity recognition of 10 medical activities.

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