Evaluation of Tag Moving Direction Detection in a Uhf Rfid Gate System

Oikawa, Yoshinori

doi:10.1142/s0218126612400154

Cited by 2 publications

(2 citation statements)

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“…Distance based estimation: This kind of estimation depends upon the use of properties of triangles such as triangulation and trilateration [8,16]. The range measurement parameters are obtained from Received Signal Strength Indicator (RSSI) [10], Time of Arrival (ToA) [13], Angle of Arrival (AoA) [28], Time Difference of Arrival (TDoA) [20] and Received Signal Phase (RSP) [32].…”

Section: Localisation Methodsmentioning

confidence: 99%

“…However, their research is conducted using relatively more expensive active (battery powered) RFID tags to determine the traversing direction of a tag. In [20], time intervals between tag detections by static reader antennas are used to find the tag traversal direction, however, this method has only been successful with dense tags (10 or more) and cannot be implemented with single tag. In [30], direction of arrival (DoA) is used to find the moving direction of a tag, however, real-time evaluation of this method is not reported in the paper.…”

Section: Traversing Direction and Traversal Path Detectionmentioning

confidence: 99%

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Watchdog: A Novel, Accurate and Reliable Method for Addressing Wandering-off using Passive RFID Tags

Sankarkumar

Ranasinghe

2014

Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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Hospitals and residential homes have a significant need for monitoring and recognising wandering-off (e.g. elopement) older people with cognitive impairments because of the serious consequences arising from wandering-off such as disappearances and serious injuries, for example, from collisions with vehicles in parking lots. Due to increasing ageing populations across the globe we can expect wandering-off to become a significant problem of scale affecting all of us. Existing technologies used to address wandering-off are inadequate for providing close supervision as they use proximity based sensing that often lead to false alarms. In this study, for the first time, we try to mitigate false alarms by identifying the traversal direction and traversal path used by people instrumented with a single low cost batteryless UHF RFID tag. Our approach uses a particle filtering (PF) based technique with Received Signal Strength Indicator (RSSI) maps obtained from scene analysis to continuously track a person wearing an RFID tag over their attire. Using real-time spatial and temporal data obtained from the PF based tracking algorithm, we develop two algorithms: i) tag traversing direction (TD) algorithm to identify the tag bearer's moving direction (e.g. moving out of a room); and ii) tag traversing path detection algorithm (TPD) to estimate the traversal path used by the tag bearer. Our extensive experiments with 14 young adult volunteers show that: i) our TD algorithm can identify the moving direction of a person with 100% accuracy; ii) our TPD algorithm reduces the false alarms to < 9%, when detecting the traversing path used while eloping; and iii) our algorithms can be implemented in a different environment without further scene analysis.

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