A hybrid localization technique for patient tracking

Rodionov, Denis; Kolev, George; Bushminkin, Kirill

doi:10.1109/embc.2013.6611100

Cited by 10 publications

(4 citation statements)

References 6 publications

(5 reference statements)

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“…Song [ 17 ] proposed a weighted fingerprinting approach based on the relationship between the average value and the standard deviation of WiFi signal strength. The data fusion method is applied to the WiFi positioning in [ 18 ]. Yang and Liu [ 19 , 20 ] both proposed new algorithms integrating traditional algorithms.…”

Section: Related Workmentioning

confidence: 99%

An Improved WiFi Indoor Positioning Algorithm by Weighted Fusion

Guo

et al. 2015

Sensors

109

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The rapid development of mobile Internet has offered the opportunity for WiFi indoor positioning to come under the spotlight due to its low cost. However, nowadays the accuracy of WiFi indoor positioning cannot meet the demands of practical applications. To solve this problem, this paper proposes an improved WiFi indoor positioning algorithm by weighted fusion. The proposed algorithm is based on traditional location fingerprinting algorithms and consists of two stages: the offline acquisition and the online positioning. The offline acquisition process selects optimal parameters to complete the signal acquisition, and it forms a database of fingerprints by error classification and handling. To further improve the accuracy of positioning, the online positioning process first uses a pre-match method to select the candidate fingerprints to shorten the positioning time. After that, it uses the improved Euclidean distance and the improved joint probability to calculate two intermediate results, and further calculates the final result from these two intermediate results by weighted fusion. The improved Euclidean distance introduces the standard deviation of WiFi signal strength to smooth the WiFi signal fluctuation and the improved joint probability introduces the logarithmic calculation to reduce the difference between probability values. Comparing the proposed algorithm, the Euclidean distance based WKNN algorithm and the joint probability algorithm, the experimental results indicate that the proposed algorithm has higher positioning accuracy.

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Section: Related Workmentioning

confidence: 99%

An Improved WiFi Indoor Positioning Algorithm by Weighted Fusion

Guo

et al. 2015

Sensors

109

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“…This approach was able to estimate the correct room with an 83% accuracy. The authors in [ 36 ] combined Wi-Fi and RFID technology to compensate for the shortcomings of each technology and achieved an accuracy of less than 4 m for patient tracking. Van Haute et al compared the performance of Wi-Fi, BLE, and Zigbee technologies using three methods in healthcare settings [ 37 ].…”

Section: Related Workmentioning

confidence: 99%

Development and Evaluation of BLE‐Based Room‐Level Localization to Improve Hand Hygiene Performance Estimation

Hadian

Fernie

Fekr

2023

Journal of Healthcare Engineering

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Hand hygiene is one of the most effective ways to prevent infection transmission. However, current electronic monitoring systems are not able to identify adherence to all hand hygiene (HH) guidelines. Location information can play a major role in enhancing HH monitoring resolution. This paper proposes a BLE-based solution to localize healthcare workers inside the patient room. Localization accuracy was evaluated using one to four beacons in a binary (entrance/proximal patient zone) or multiclass (entrance/sink/right side of the bed/left side of the bed) proximity-based positioning problem. Dynamic fingerprints were collected from nine different subjects performing 30 common nursing activities. Extremely randomized trees algorithm achieved the best accuracies of 81% and 71% in the binary and multiclass classifications, respectively. The proposed method can be further used as a proxy for caregiving activity recognition to improve the risk of infection transmission in healthcare settings.

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“…Then, WiFi signal measurements are used to refine the location estimate within an average error tolerance of 40cm. Rodionov et al [213] fused the results from different networks including WLAN, Geomagnetism, and RFID based on Gauss-Markov theory. Other combinations of WiFi and magnetic information can be found in [26].…”

Section: Source Space Of Heterogeneous Positioning Systemsmentioning

confidence: 99%

A Survey on Fusion-Based Indoor Positioning

Guo

Ansari

et al. 2020

IEEE Commun. Surv. Tutorials

191

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Demands for indoor positioning based services (IPS) in commercial and military fields have spurred many positioning systems and techniques. Complex electromagnetic environments (CEEs) may, however, degenerate the accuracy and robustness of some existing single systems and techniques. To overcome this drawback, fusion-based positioning of multiple systems and/or techniques have been proposed to revamp the positioning performance in CEEs. In this paper, we survey the fusion-based indoor positioning techniques and systems from seminal works to elicit the state of the art within our proposed unified fusionbased positioning framework, which consists of three fusion characteristics: source, algorithm, and weight spaces. Different from other surveys, this survey summarizes and analyzes the existing fusion-based positioning systems and techniques from three characteristics. Meanwhile, discussions in terms of lessons, challenges, and countermeasures are also presented. This survey is invaluable for researchers to acquire a clear concept of indoor fusion-based positioning systems and techniques and also to gain insights from this survey to further develop other advanced fusion-based positioning systems and techniques in the future. Index Terms-Indoor positioning based services (IPS), fusion-based positioning, complex electromagnetic environments (CEEs), ensemble learning.

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A hybrid localization technique for patient tracking

Cited by 10 publications

References 6 publications

An Improved WiFi Indoor Positioning Algorithm by Weighted Fusion

An Improved WiFi Indoor Positioning Algorithm by Weighted Fusion

Development and Evaluation of BLE‐Based Room‐Level Localization to Improve Hand Hygiene Performance Estimation

A Survey on Fusion-Based Indoor Positioning

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