ArticleIEEE International Conference on RFID. IEEE International Conference on RFID2016
Activity Recognition for Medical Teamwork Based on Passive RFID.
Article in IEEE International Conference on RFID. IEEE International Conference on RFID, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Automatic Detection of Physiological Attributes from Verbal Communication During Time-Critical Medical Events.ACM transactions on computing for healthcare · 2026Article
- Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow.Communications medicine · 2025Article
- Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking.Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops · 2024Article
- Real-time Context-Aware Multimodal Network for Activity and Activity-Stage Recognition from Team Communication in Dynamic Clinical Settings.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2023Article
- Multi-dimensional task recognition for human-robot teaming: literature review.Frontiers in robotics and AI · 2023Review
- An Analysis of Speech during Life Saving Interventions to Inform the Design of a Computerized System for Delay Detection.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction.Sensors (Basel, Switzerland) · 2019Article
- Multimodal Attention Network for Trauma Activity Recognition from Spoken Language and Environmental Sound.Proceedings. IEEE International Conference on Healthcare Informatics · 2019Article
- An Analysis of Speech as a Modality for Activity Recognition during Complex Medical Teamwork.International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare · 2018Article
- Progress Estimation and Phase Detection for Sequential Processes.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2017Article
- Deep Learning for RFID-Based Activity Recognition.Proceedings of the ... International Conference on Embedded Networked Sensor Systems. International Conference on Embedded Networked Sensor Systems · 2016Article
- Deep Neural Network for RFID-Based Activity Recognition.Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop. Workshop on Wireless of the Students, by the Students, for the Students (8th : 2016 : New York, N.Y.) · 2016Article
- Online Process Phase Detection Using Multimodal Deep Learning.Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE Annual · 2016Article
- Video-based Concurrent Activity Recognition for Trauma Resuscitation.Proceedings. IEEE International Conference on Healthcare InformaticsArticle
- Speech-Based Activity Recognition for Trauma Resuscitation.Proceedings. IEEE International Conference on Healthcare InformaticsArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.