Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings
Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings
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DOI：
10.3390/s19092114
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发表时间：
2019-05-01
期刊：
影响因子：
3.9
通讯作者：
Venckauskas, Algimantas
中科院分区：
文献类型：
--
作者：
AL-Madani, Basem;Orujov, Farid;Venckauskas, Algimantas
在建筑物内精确定位和导航部分残疾或盲人的能力对于各种公共安全和定位服务越来越重要。在本文中，我们探讨了使用蓝牙低功耗（BLE）信标的室内定位算法。我们建议在模糊逻辑框架中利用BLE信标的接收信号强度指示（RSSI）和当前信标到指纹点的几何距离来计算欧几里得距离，以便随后确定位置。根据我们的研究结果，模糊逻辑类型-2（犹豫模糊集）的指纹识别算法适合作为BLE信标的室内定位方法。定位平均误差仅为0.43 m，导航精度为98.2±1%。Frechet和Hausdorff距离值较低，导航效率指数（NEI）得分较高，这证实了该算法在未知空间为视障人士提供了极大的帮助，尤其是在没有物理触觉引导的空间。
The ability to precisely locate and navigate a partially impaired or a blind person within a building is increasingly important for a wide variety of public safety and localization services. In this paper, we explore indoor localization algorithms using Bluetooth Low Energy (BLE) beacons. We propose using the BLE beacon's received signal strength indication (RSSI) and the geometric distance from the current beacon to the fingerprint point in the framework of fuzzy logic for calculating the Euclidean distance for the subsequent determination of location. According to our results, the fingerprinting algorithm with fuzzy logic type-2 (hesitant fuzzy sets) is fit for use as an indoor localization method with BLE beacons. The average error of localization is only 0.43 m, and the algorithm obtains a navigation precision of 98.2 +/- 1%. This precision confirms that the algorithms provide great aid to a visually impaired person in unknown spaces, especially those designed without physical tactile guides, as confirmed by low Frechet and Hausdorff distance values and high navigation efficiency index (NEI) scores.