Three Step Bluetooth Positioning

Genco, Alessandro

doi:10.1007/11426646_6

Cited by 16 publications

(6 citation statements)

References 9 publications

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“…On the other hand, most of the wireless positioning systems operate in the license free ISM (Industrial, Scientific and Medical) radio band and are based on Wi-Fi (eg., [6][7][8]), Bluetooth (eg., [9][10][11]) or ZigBee (eg., [12][13][14]) technologies. They use different methods for deriving the location information.…”

Section: Related Workmentioning

confidence: 99%

Placement Optimization of Reference Sensors for Indoor Tracking

Farkas

2015

APH

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Section: Related Workmentioning

confidence: 99%

Placement Optimization of Reference Sensors for Indoor Tracking

Farkas

2015

APH

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“…Devices can use the time difference of the two pulses to determine the closest beacon and estimate their distance from it to within 5 to 25 cm. Genco (2005) describes a method for obtaining positioning accuracies of up to 50 cm using link quality measurements associated with Bluetooth connections.…”

Section: Related Workmentioning

confidence: 99%

Multi-sensory and Multi-modal Fusion for Sentient Computing

Town

2006

Int J Comput Vision

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This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sentient computing system known as "SPIRIT". The SPIRIT system employs an ultrasonic location infrastructure to track people and devices in an office building and model their state. Vision techniques include background and object appearance modelling, face detection, segmentation, and tracking modules. Integration is achieved at the system level through the metaphor of shared perceptions, in the sense that the different modalities are guided by and provide updates to a shared world model. This model incorporates aspects of both the static (e.g. positions of office walls and doors) and the dynamic (e.g. location and appearance of devices and people) environment.Fusion and inference are performed by Bayesian networks that model the probabilistic dependencies and reliabilities of different sources of information over time. It is shown that the fusion process significantly enhances the capabilities and robustness of both sensory modalities, thus enabling the system to maintain a richer and more accurate world model.

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“…In particular, BTProximity simply associates one node with the location of the closest reference point, i.e., Bluetooth device, whose distance is inferred by exploiting baseband connection RSSI. Other Bluetoothbased positioning systems are available in the literature [26,27]. Differently from them, BTProximity specifically focuses on privacy management: user privacy is achieved by carefully hiding node presence to reference points, that is not revealing to infrastructure nodes where the node is notwithstanding the node exploits reference points to determine its location.…”

Section: Integrated Positioning Systemsmentioning

confidence: 99%