Accuracy Investigations of Fingerprint-based Indoor Localization System Using IEEE 802.15.4 in Two-Floor Environment

Puspitaningayu, Pradini; Funabiki, Nobuo; Huo, Yuanzhi; Panduman, Yohanes Yohanie Fridelin; Wang, Xinyu; Kuribayashi, Minoru; Kao, Wen-Chung

doi:10.1109/icvee57061.2022.9930432

Cited by 1 publication

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, the best detection accuracy in dynamic situations is shown when six receivers were simultaneously used in a two-floor environment (case 3). This result matched to our previous evaluation in [12] although it was under stationary off-body scenario. Second, the system shows significant reliability by showing better detection accuracy when the variance of LQI and accelerometer are used to validate the user's movement.…”

Section: Evaluation On Detection Accuracy In Dynamic Situationssupporting

confidence: 90%

“…Such kind of experiment was presented in the earlier works [9], [12] with different numbers of receivers and types of layouts. The transmitters did not carry by any users and were placed stationary all the time.…”

Section: B Receiving Lqi From Off-body Transmittersmentioning

confidence: 99%

“…It is noted that the fingerprint database was generated under the stationary or off-body as in [12]. Thus, there is no need to generate a new fingerprint database specifically for dynamic cases (on-body).…”

Section: A Experiments Setupmentioning

confidence: 99%

“…The quantity of receivers in the field adheres to the three scenarios elucidated in Section 6-A. Building upon the research conducted in [12], we conduct a comparative analysis of receiver usage in both singlefloor and two-floor environments, specifically focusing on dynamic scenarios.…”

Section: Evaluation On Detection Accuracy In Dynamic Situationsmentioning

confidence: 99%

“…In the previous work in [12], we combined two adjacent floors as one target field. Multiple receivers were utilized together to detect rooms on both floors to maintain high detection accuracy and avoid high development costs in multi-floors implementation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

Puspitaningayu,

Funabiki,

Huo

et al. 2024

IJCDS

View full text Add to dashboard Cite

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.

show abstract

Section: Evaluation On Detection Accuracy In Dynamic Situationssupporting

confidence: 90%

Section: B Receiving Lqi From Off-body Transmittersmentioning

confidence: 99%

Section: A Experiments Setupmentioning

confidence: 99%

Section: Evaluation On Detection Accuracy In Dynamic Situationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations