Indoor Localization with Fingerprint Feature Extraction

Subakti, Hanas; Liang, Hui-Sung; Jiang, Jehn-Ruey

doi:10.1109/ecice50847.2020.9301994

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…If the positioning information in these areas is not accurate enough, there is a possibility that the patient or care recipient may be injured due to inaccurate positioning information without warning notification. Therefore, this study proposes to use fingerprint positioning [ 41 , 42 , 43 , 44 , 45 ] in these dangerous areas to improve the accuracy of positioning to avoid danger to patients or care recipients.…”

Section: Methodsmentioning

confidence: 99%

Bluetooth-Based Healthcare Information and Medical Resource Management System

Chang

et al. 2023

Sensors

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This paper presents a healthcare information and medical resource management platform utilizing wearable devices, physiological sensors, and an indoor positioning system (IPS). This platform provides medical healthcare information management based on the physiological information collected by wearable devices and Bluetooth data collectors. The Internet of Things (IoT) is constructed for this medical care purpose. The collected data are classified and used to monitor the status of patients in real time with a Secure MQTT mechanism. The measured physiological signals are also used for developing an IPS. When the patient is out of the safety zone, the IPS will send an alert message instantly by pushing the server to remind the caretaker, easing the caretaker’s burden and offering extra protection for the patient. The presented system also provides medical resource management with the help of IPS. The medical equipment and devices can be tracked by IPS to tackle some equipment rental problems, such as lost and found. A platform for the medical staff work coordination information exchange and transmission is also developed to expedite the maintenance of medical equipment, providing the shared medical information to healthcare and management staff in a timely and transparent manner. The presented system in this paper will finally reduce the loading of medical staff during the COVID-19 pandemic period.

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Section: Methodsmentioning

confidence: 99%

Bluetooth-Based Healthcare Information and Medical Resource Management System

Chang

et al. 2023

Sensors

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“…Thus, the areas of intersection among the multiple direction-finding stations address the localizations of moving targets. Generally, three basic positioning methods using the strength of the received signal (received-signal-strength-indicator, RSSI) [ 14 , 15 , 16 , 17 , 18 ], the time delay of the received signal (time-difference-of-arrival, TDOA) and the angle of the received signal (direction-of-arrival, DOA) were presented.…”

Section: Related Workmentioning

confidence: 99%

Precision Enhancement of Wireless Localization System Using Passive DOA Multiple Sensor Network for Moving Target

Chen

Chang

et al. 2022

Sensors

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Determining the direction-of-arrival (DOA) of any signal of interest has long been of great interest to the wireless localization research community for military and civilian applications. To efficiently facilitate the deployment of DOA systems, the accuracy of wireless localization is critical. Hence, this paper proposes a novel method to improve the prediction result of a wireless DOA localization system. By considering the signal variation existing in the complex environment, the actual location of the target can be determined including the maximum prediction error. Moreover, the scenario of the moving target is further investigated by incorporating the adaptive Kalman Filter algorithm to obtain the prediction route of the flying drone based on the accuracy assessment method. This proposed adaptive Kalman Filter is a high-efficiency algorithm that can filter out the noise in the multipath area and optimize the predicted data in real-time. The simulation result agrees well with the measured data and thus validates the proposed DOA system with the adaptive Kalman Filter algorithm. The measured DOA of the fixed radiation source obtained by a single base station and the moving route of a flying drone from a two-base station localization system are presented and compared with the calculated results. Results show that the prediction error in an outdoor region of 500 × 500 m2 is about 10–20 m, which demonstrate the usefulness of the proposed wireless DOA system deployment in practical applications.

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“…Thus, these transmitters can be used to determine the user's positions. Currently, the techniques used for IPS are mainly fingerprinting and triangulation and their improved versions [14]. In this paper, a technique based on BLE transmitters and fingerprint were selected for user localization.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the placement of BLE transmitters for Indoor Positioning Systems

Pilski,

Aleksandrowicz

2023

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The article presents the results of experimental research related to the optimization of the placement of BLE transmitters (beacons) inside rooms in order to locate the user. The experiments were carried out to check how far BLE transmitters can be moved away from each other so that the average localization error was at a level acceptable to the user. The value of the localization error was assumed based on the literature (less than 1 m). As a result of the conducted experiments, a mathematical formula was defined to calculate the required number of BLE transmitters for the exact location inside the rooms. The experiments used BLE transmitters, rooms inside the building of Siedlce University of Natural Sciences and Humanities and a mobile application with a database. In the study of the optimization of the placement of beacons, the fingerprint technique was used.

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Indoor Localization with Fingerprint Feature Extraction

Cited by 10 publications

References 9 publications

Bluetooth-Based Healthcare Information and Medical Resource Management System

Bluetooth-Based Healthcare Information and Medical Resource Management System

Precision Enhancement of Wireless Localization System Using Passive DOA Multiple Sensor Network for Moving Target

Optimizing the placement of BLE transmitters for Indoor Positioning Systems

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