A Proposal of the Fingerprint Optimization Method for the Fingerprint-Based Indoor Localization System with IEEE 802.15.4 Devices

Huo, Yuanzhi; Puspitaningayu, Pradini; Funabiki, Nobuo; Hamazaki, Kazushi; Kuribayashi, Minoru; Kojima, Kazuyuki

doi:10.3390/info13050211

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…In [23], Yuanzhi et al implemented wireless signal fingerprinting to improve upon previous methods affected by a fluctuation due to human movement. The optimization method increased accuracy and minimized link quality indicator (LQI) reading fluctuation by increasing the fingerprinting section when accuracy was insufficient.…”

Section: Fingerprinting Methodsmentioning

confidence: 99%

INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance

Fajrianti,

Funabiki,

Sukaridhoto

et al. 2023

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Currently, outdoor navigation systems have widely been used around the world on smartphones. They rely on GPS (Global Positioning System). However, indoor navigation systems are still under development due to the complex structure of indoor environments, including multiple floors, many rooms, steps, and elevators. In this paper, we present the design and implementation of the Indoor Navigation System using Unity and Smartphone (INSUS). INSUS shows the arrow of the moving direction on the camera view based on a smartphone’s augmented reality (AR) technology. To trace the user location, it utilizes the Simultaneous Localization and Mapping (SLAM) technique with a gyroscope and a camera in a smartphone to track users’ movements inside a building after initializing the current location by the QR code. Unity is introduced to obtain the 3D information of the target indoor environment for Visual SLAM. The data are stored in the IoT application server called SEMAR for visualizations. We implement a prototype system of INSUS inside buildings in two universities. We found that scanning QR codes with the smartphone perpendicular in angle between 60∘ and 100∘ achieves the highest QR code detection accuracy. We also found that the phone’s tilt angles influence the navigation success rate, with 90∘ to 100∘ tilt angles giving better navigation success compared to lower tilt angles. INSUS also proved to be a robust navigation system, evidenced by near identical navigation success rate results in navigation scenarios with or without disturbance. Furthermore, based on the questionnaire responses from the respondents, it was generally found that INSUS received positive feedback and there is support to improve the system.

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Section: Fingerprinting Methodsmentioning

confidence: 99%

INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance

Fajrianti,

Funabiki,

Sukaridhoto

et al. 2023

Information

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“…An authorized user can access that information using a web application. The recorded LQI can also be downloaded to be processed by the parameter optimization method to determine the number and values of the fingerprint database [25].…”

Section: B Localization Proceduresmentioning

confidence: 99%

A Dynamic Indoor Localization with Movement Validation and Fingerprinting Technique under IEEE 802.15.4 Network

Puspitaningayu,

Funabiki,

Huo

et al. 2024

IJCDS

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The study of indoor localization has been extensively studied, either in terms of wireless technologies or localization techniques. The accuracy is then challenged when the monitored object is actively moving. Previously, we studied a continuous and low-power fingerprint-based indoor localization system using IEEE 802.15.4 (FILS15.4), which has been integrated into a smart environmental IoT platform. Although fingerprint-based localization offers a great advantage in its simplicity, it relies on real-time signal strength measurements and databases. Thus, it suffers challenges in accuracy when the object is continuously moving. In this study, we focus on developing dynamic positioning, where users continuously move from one room to another. Due to human movements, the fluctuation of the link quality indicator (LQI) can affect the detection accuracy. To avoid false detection, we propose a movement validation method by checking the variance of the LQI and accelerometer to differentiate the cause of fluctuations and increase the detection accuracy. For experiments, we run the test-bed of FILS15.4 on a two-floor layout. Five to six receivers were allocated to detect multiple users. The results show that the system yields 96.2% accuracy using six receivers simultaneously. Thus, it gives sufficient detection accuracy even for dynamic conditions.

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“…It detects the user locations in indoor environments according to the fingerprints of the target location. The process is divided into the calibration phase and the detection phase [61,62].…”

Section: Integration Of Fingerprint-based Indoor Localization Systemmentioning

confidence: 99%

Design and Implementation of SEMAR IoT Server Platform with Applications

Panduman

Funabiki

Puspitaningayu

et al. 2022

Sensors

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Nowadays, rapid developments of Internet of Things (IoT) technologies have increased possibilities of realizing smart cities where collaborations and integrations of various IoT application systems are essential. However, IoT application systems have often been designed and deployed independently without considering the standards of devices, logics, and data communications. In this paper, we present the design and implementation of the IoT server platform called Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) for integrating IoT application systems using standards. SEMAR offers Big Data environments with built-in functions for data aggregations, synchronizations, and classifications with machine learning. Moreover, plug-in functions can be easily implemented. Data from devices for different sensors can be accepted directly and through network connections, which will be used in real-time for user interfaces, text files, and access to other systems through Representational State Transfer Application Programming Interface (REST API) services. For evaluations of SEMAR, we implemented the platform and integrated five IoT application systems, namely, the air-conditioning guidance system, the fingerprint-based indoor localization system, the water quality monitoring system, the environment monitoring system, and the air quality monitoring system. When compared with existing research on IoT platforms, the proposed SEMAR IoT application server platform offers higher flexibility and interoperability with the functions for IoT device managements, data communications, decision making, synchronizations, and filters that can be easily integrated with external programs or IoT applications without changing the codes. The results confirm the effectiveness and efficiency of the proposal.

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A Proposal of the Fingerprint Optimization Method for the Fingerprint-Based Indoor Localization System with IEEE 802.15.4 Devices

Cited by 8 publications

References 34 publications

INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance

INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance

A Dynamic Indoor Localization with Movement Validation and Fingerprinting Technique under IEEE 802.15.4 Network

Design and Implementation of SEMAR IoT Server Platform with Applications

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