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Evaluation of passive RFID system in a dynamic work environment
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Ayyer, Shriniwas. Evaluation of passive RFID system in a dynamic work environment. Retrieved from https://doi.org/doi:10.7282/T32F7M7F

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TitleEvaluation of passive RFID system in a dynamic work environment
NameAyyer, Shriniwas (author); Marsic, Ivan (chair); Wilder, Joseph (internal member); Sannuti, Peddapullaiah (internal member); Rutgers University; Graduate School - New Brunswick
Date Created2012
Other Date2012-10 (degree)
SubjectElectrical and Computer Engineering, Radio frequency identification systems--Performance
Extentix, 69 p. : ill.
DescriptionRFID has been one of the most widely used sensing technologies. Due to its ease of integration, low cost and minimal system intervention required, a lot of domains are deploying RFID for their applications. A major market of RFID technology applications has been the inventory and tracking application. The data obtained from RFID, however, also contains high level of information in it, which can be used and exploited for sensing applications like localization, motion detection, activity recognition, etc. Despite, the widespread use of RFID, there are some technical shortcomings and lack of a system design approach which hinders the performance of RFID systems in dynamic and critical settings. Our goal is to introduce the Passive RFID technology in a dynamic work environment like the Trauma Resuscitation Bay as part of a context-aware system to support activity recognition. Mobility of an object is closely related to its usage and hence the activity being performed. Detecting mobility of an object using passive RFID technology is the first step towards activity recognition. The deployment of the RFID system and the placement of the antennas play a crucial role in the performance of their sensing application. In this work, we have devised a method to determine the effectiveness of an RFID equipment setup. We have analyzed different RFID setups and we discuss the metrics used to determine their effectiveness. We conducted experiments with different scenarios to collect the data and evaluated the performance of a setup in each scenario. The results obtained helped us to correlate the RFID setup with its detection performance. We also ran a classification algorithm on the data collected and evaluated the object motion detection accuracy for all the set ups. Our work provides a ground rule for the RFID set up requirements to be considered for detection applications and also provides insights into the features that can be used for state classification of objects using the RFID data.
NoteM.S.
NoteIncludes bibliographical references
Noteby Shriniwas Ayyer
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T32F7M7F
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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