Activity Recognition for Context-aware Hospital Applications: Issues and Opportunities for the Deployment of Pervasive Networks

Favela, Jesús; Tentori, Mónica; Castro, Luís A.; González, Víctor; Moran, Elisa B.; Martínez-García, Ana I.

doi:10.1007/s11036-007-0013-5

Cited by 65 publications

(46 citation statements)

References 22 publications

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“…This process requires interaction with medical objects, most of which are uniquely associated with tasks. Object-use information has been applied for tracking hospital activities [17] and classifying surgery phases [18].…”

Section: Application Domain: Trauma Resuscitationmentioning

confidence: 99%

Detecting Object Motion Using Passive RFID: A Trauma Resuscitation Case Study

Parlak

Marsic

2013

IEEE Trans. Instrum. Meas.

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Abstract-We studied object motion detection in an indoor environment using RFID technology. Unlike prior work, we focus on dynamic scenarios, such as emergency medical situations, subject to signal interference by people and many RFID tags. We build a realistic trauma resuscitation setting and record a dataset of around 14 000 detection instances. We find that factors affecting radio signal, such as tag motion, have different statistical fingerprints, making them discernible using statistical methods. Our method for object motion detection extracts descriptive features of the received signal strength and classifies them using machine-learning techniques. We report experimental results obtained with several statistical features and classifiers, and provide guidelines for feature and classifier selection in different environments. Experimental results show that object motion could be detected with an accuracy of 80% in complex scenarios and 90% on average. The motion type, on the other hand, could not be identified with such high accuracy using currently available passive RFID technology.

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Section: Application Domain: Trauma Resuscitationmentioning

confidence: 99%

Detecting Object Motion Using Passive RFID: A Trauma Resuscitation Case Study

Parlak

Marsic

2013

IEEE Trans. Instrum. Meas.

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“…Favela [4] demonstrates that mobile activity recognition systems can be used to build pervasive, context-and activity-aware networks for the monitoring of hospital staff, whose whereabouts and activities are important information for colleagues. In other contexts, where the location and activities of employees is not critical to health care, this technology certainly raises questions regarding employer ethics.…”

Section: Corporate Management and Accountingmentioning

confidence: 99%

Applications of mobile activity recognition

Lockhart

Pulickal

Weiss

2012

Proceedings of the 2012 ACM Conference on Ubiquitous Computing

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Activity Recognition (AR), which identifies the activity that a user performs, is attracting a tremendous amount of attention, especially with the recent explosion of smart mobile devices. These ubiquitous mobile devices, most notably but not exclusively smartphones, provide the sensors, processing, and communication capabilities that enable the development of diverse and innovative activity recognitionbased applications. However, although there has been a great deal of research into activity recognition, surprisingly little practical work has been done in the area of applications in mobile devices. In this paper we describe and categorize a variety of activity recognition-based applications. Our hope is that this work will encourage the development of such applications and also influence the direction of activity recognition research.

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“…A wide range of different monitoring devices are commonly found in hospital rooms; these devices can be potentially used to provide various streams of data. For example, numerous efforts have been made to go beyond traditional audiovisual notifications: Favela et al [10] present an activity recognition system that, by using a neural network, presents relevant information to the estimated activity being performed. Sensors can also be integrated seamlessly within the hospital environment: many object that are commonly available can be augmented to provide contextual information.…”

Section: Related Workmentioning

confidence: 99%

“…Recent work has investigated assistive system design aimed at capturing short term events as well as presenting patient records and other contextual information in graphical languages to improve patient care experience [4], [7]- [10]. In our previous work, we introduced the notion of situated glyphs to support real-time medical information provisioning using graphical representation [11].…”

Section: Introductionmentioning

confidence: 99%

Informing the design of situated glyphs for a care facility

Vermeulen

Kawsar²,

Simeone

et al. 2012

2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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Abstract-Informing caregivers by providing them with contextual medical information can significantly improve the quality of patient care activities. However, information flow in hospitals is still tied to traditional manual or digitised lengthy patient record files that are often not accessible while caregivers are attending to patients. Leveraging the proliferation of pervasive awareness technologies (sensors, actuators and mobile displays), recent studies have explored this information presentation aspect borrowing theories from context-aware computing, i.e., presenting subtle information contextually to support the activity at hand. However, the understanding of the information space (i.e., what information should be presented) is still fairly abstruse, which inhibits the deployment of such real-time activity support systems. To this end, this paper first presents situated glyphs, a graphical entity to encode situation specific information, and then presents our findings from an in-situ qualitative study addressing the information space tailored to such glyphs. Applying technology probes using situated glyphs and different glyph display form factors, the study aimed at uncovering the information space pertained to both primary and secondary medical care. Our analysis has resulted in a large set of information types as well as given us deeper insight on the principles for designing future situated glyphs. We report our findings in this paper that we expect would provide a solid foundation for designing future assistive systems to support patient care activities.

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Activity Recognition for Context-aware Hospital Applications: Issues and Opportunities for the Deployment of Pervasive Networks

Cited by 65 publications

References 22 publications

Detecting Object Motion Using Passive RFID: A Trauma Resuscitation Case Study

Detecting Object Motion Using Passive RFID: A Trauma Resuscitation Case Study

Applications of mobile activity recognition

Informing the design of situated glyphs for a care facility

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