UWB Indoor Tracking System for Visually Impaired People

Al-Hadhrami, Suheer; Alnafessah, Ahmad; Al-Ammar, Mai A.; Alarifi, Abdulrahman; Al‐Khalifa, Hend S.; Alsaleh, Mansour

doi:10.1145/2837126.2837141

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…For the physical position test, as we have done in [16], the system calculated a position for each of the 166 test points 10 successive times. The tag was visible at 1,494 positions, which represents 90% of the total possible positions.…”

Section: Resultsmentioning

confidence: 99%

Developing an Ultra Wideband Indoor Navigation System for Visually Impaired People

Alnafessah

Al-Ammar

Al-Hadhrami

et al. 2016

International Journal of Distributed Sensor Networks

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The number of individuals who suffer from visual impairment is increasing rapidly. The most significant barrier to improving the lives of the blind and visually impaired people is their inability to navigate independently and safely. Indoor navigation systems for blind and visually impaired people aim to guide them in navigating independently in familiar and unfamiliar environments. Our system aims to provide an assistive technology for blind and visually impaired individuals by exploiting popular existing technologies that are often used by blind individuals, such as the smartphone. The system provides users with guidance statements that help them navigate from their current positions to desired destinations. The system consists of four main components: mapping, positioning, navigation, and interface. In order to implement these components, three main applications need to be developed: application in localization server, application in communication server, and application in smartphone, each of which is located in a different place but connected to the others. Functionalities test and blind test were conducted to evaluate the system. The system proved its ability to aid blind individuals effectively.

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Section: Resultsmentioning

confidence: 99%

Developing an Ultra Wideband Indoor Navigation System for Visually Impaired People

Alnafessah

Al-Ammar

Al-Hadhrami

et al. 2016

International Journal of Distributed Sensor Networks

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“…There were 12 desks and a PC on each of the steel desk, sofa chairs, two steel bookshelves, two steel equipment shelves, a printer, some home-electric appliances, four wifi and so on. As UWB sensor and device to communicate with the dwm1001 sensor module in the experiment, the DWM1001 sensor module 1 and Raspberry pi 2 were used, respectively. More than three persons worked in the room during the experiment.…”

Section: Methodsmentioning

confidence: 99%

“…Cai et al [4] developed an ensemble learning particle swarm optimization algorithm for indoor target detection and showed that it almost correctly detected target positions in empty indoor environment Although their method may be useful to identify each tag position, it is not evaluated for environment with Non-Line-of-Sight condition and multi-path problem yet, and the purpose of the algorithm is not to detect the stay regions of the target. Alhadhrami et al [1] used a UWB positioning system to develop a voice-guide service for a blind person. The service gives information showing the user's surrounding state and guides the direction to exit the room from the user's current position.…”

Section: Introductionmentioning

confidence: 99%

Extracting Stay Regions from UWB Indoor Trajectory and its Evaluation

Hayama

Takahashi

Nagatomo

2020

International Journal of Service and Knowledge Management

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Location-based technology is key for ubiquitous society. To enhance the location-based services, recognizing the places and the patterns where a person and an object have visited in addition to geographical locations is needed. Although some researchers have developed methods that extract outdoor stay regions from GPS trajectories to recognize the visiting places, there is no technology that recognizes stay regions, such as spatial location in a living house and an office building, from indoor trajectories. Technology for extracting indoor stay regions is required to achieve more intelligent indoor-location-based services, such as smart-home and smart-office. Therefore, we developed a method which extracts stay regions from an ultra-wideband (UWB) indoor trajectory. An UWB indoor positioning technology provides location information with a few-tens-of-centimeters error. Our developed method was evaluated comparing with conventional methods.

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“…Recently, some motion tracking systems have been researched for various indoor applications, such as manufacturing , human supporting systems and rehabilitation . Many methods have been proposed to improve the accuracy of the indoor tracking.…”

Section: Introductionmentioning

confidence: 99%

Indoor Tracking by RFID Fusion with IMU Data

Wang

Zheng

et al. 2018

Asian Journal of Control

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Indoor tracking and positioning technology have received significant attention. There are many techniques to track indoor targets, such as Wi-Fi technology, radio frequency identification (RFID), and inertial navigation technology. However, these technologies cannot accurately track a target with a single sensor due to the uncertainty of the sensors. This paper presents an indoor tracking method using RFID and inertial measurement units (IMU); the estimated trajectory is mainly determined by RFID, and the information about the trajectory based on IMU is added when the estimated trajectory is missing without RFID data. The results show that the fusion estimation algorithm has excellent performance in indoor tracking and is very effective when the target maneuvers, even where some measurements are lost.

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UWB Indoor Tracking System for Visually Impaired People

Cited by 6 publications

References 16 publications

Developing an Ultra Wideband Indoor Navigation System for Visually Impaired People

Developing an Ultra Wideband Indoor Navigation System for Visually Impaired People

Extracting Stay Regions from UWB Indoor Trajectory and its Evaluation

Indoor Tracking by RFID Fusion with IMU Data

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