Literature DB >> 30370332

Activity Recognition for Medical Teamwork Based on Passive RFID.

Xinyu Li1, Dongyang Yao1, Xuechao Pan1, Jonathan Johannaman1, JaeWon Yang2, Rachel Webman2, Aleksandra Sarcevic3, Ivan Marsic1, Randall S Burd2.   

Abstract

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.

Entities:  

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

Year:  2016        PMID: 30370332      PMCID: PMC6200354          DOI: 10.1109/RFID.2016.7488002

Source DB:  PubMed          Journal:  IEEE Int Conf RFID        ISSN: 2374-0221


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1.  Deep Neural Network for RFID-Based Activity Recognition.

Authors:  Xinyu Li; Yanyi Zhang; Mengzhu Li; Ivan Marsic; JaeWon Yang; Randall S Burd
Journal:  Proc Eighth Wirel Stud Stud Stud Workshop (2016)       Date:  2016-10

2.  Progress Estimation and Phase Detection for Sequential Processes.

Authors:  Xinyu Li; Yanyi Zhang; Jianyu Zhang; Moliang Zhou; Shuhong Chen; Yue Gu; Yueyang Chen; Ivan Marsic; Richard A Farneth; Randall S Burd
Journal:  Proc ACM Interact Mob Wearable Ubiquitous Technol       Date:  2017-09

3.  Video-based Concurrent Activity Recognition for Trauma Resuscitation.

Authors:  Yanyi Zhang; Yue Gu; Ivan Marsic; Yinan Zheng; Randall S Burd
Journal:  IEEE Int Conf Healthc Inform       Date:  2021-03-12

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5.  Multimodal Attention Network for Trauma Activity Recognition from Spoken Language and Environmental Sound.

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Journal:  IEEE Int Conf Healthc Inform       Date:  2019-11-21
  5 in total

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