A location estimation method using mobile BLE tags with tandem scanners

Urano, Kenta; Kaji, Koichi; Hiroi, Kei; Kawaguchi, Nobuo

doi:10.1145/3123024.3124405

Cited by 8 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fingerprint method involves estimating a position from the beacon ID and RSSI and the estimated model observed when performing position estimation. Although a general location estimation method involves the installation of the BLE beacon in the environment and users have the BLE scanner, Urano et al [19] proposed a method in which users have the BLE beacon and the BLE scanners are installed in the environment.…”

Section: Related Workmentioning

confidence: 99%

Global map matching using BLE beacons for indoor route and stay estimation

Yamamoto

Tanaka

Kajioka

et al. 2018

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

View full text Add to dashboard Cite

Recently, location service using Bluetooth Low-Energy (BLE) beacon is gaining popularity. There also exist researches that estimate the route of the user from the location estimation results, visualize, and analyze it. In the conventional route estimation method based on the BLE beacon, after estimating the all locations from the radio field strength of the BLE, the route is estimated from the sequence of the estimated locations. Therefore, one of the causes of deterioration in accuracy could be the fact that the estimation was repeated twice. Therefore, in this paper, we propose a novel estimation method of the user's route and stay using BLE beacons. Specifically, we apply the idea of global map matching, used in the field of GPS, to route estimation based on BLE beacons. Thus, the global optimum route in beacon network can be estimated from the radio field intensities of the BLE beacon directly. We associate a beacon network with path network to estimate the route and stay of users. We installed approximately 1,600 BLE beacon transmitters in all the classrooms and corridors of Nagoya Institute of Technology, and confirmed the effectiveness of the proposed method by experiments.

show abstract

Section: Related Workmentioning

confidence: 99%

Global map matching using BLE beacons for indoor route and stay estimation

Yamamoto

Tanaka

Kajioka

et al. 2018

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

View full text Add to dashboard Cite

show abstract

“…c 2019 Information Processing Society of Japan Park et al [5] and Rida et al [6] studied a positioning method by installing BLE beacons in a room. Urano et al studied a method to distribute BLE tags to visitors at an event venue and estimate a position with a BLE scanner installed in the venue [7]. Quuppa * 1 is one of a number of commercial products using BLE.…”

Section: Positioning Methods Based On Radio Wavesmentioning

confidence: 99%

“…In addition, when it is possible to estimate the route of a visitor within an accuracy of several centimeters, it is possible to estimate the behavior pattern of visitors in detail. Various in- 1 Graduate School of Engineering, Nagoya University, Nagoya, Aichi 464-0814, Japan 2 Institutes of Innovation for Future Society, Nagoya University, Nagoya, Aichi 464-8601, Japan 3 IoT Business Department, NTT DOCOMO, INC., Yokosuka, Kanagawa 239-8536, Japan 4 Research Laboratories, NTT DOCOMO, INC., Yokosuka, Kanagawa 239-8536, Japan 5 Product Department, NTT DOCOMO, INC., Yokosuka, Kanagawa 239-8536, Japan 6 R&D Information Service Department, DOCOMO Technology, Inc., Yokosuka, Kanagawa 239-8536, Japan 7 Faculty of Information Science, Aichi Institute of Technology, Toyota, Aichi 470-0392, Japan a) nabeko@ucl.nuee.nagoya-u.ac.jp door positioning methods have been studied to date. For example, there are methods based on radio waves such as Wi-Fi access points [1], [2], [3], [4], BLE (Bluetooth Low Energy) [5], [6], [7], and UWB (Ultra Wide Band) technology [8].…”

Section: Introductionmentioning

confidence: 99%

A Smartphone 3D Positioning Method using a Spinning Magnet Marker

Watanabe

Hiroi

Kamiyama³

et al. 2019

Journal of Information Processing

Self Cite

View full text Add to dashboard Cite

In recent years, the importance of location information has increased due to the popularization of terminals such as smartphones. Our purpose is to estimate the 3D position of smartphones within several centimeters. This location information can reveal a person's behavior patterns and subject of interest. A method based on dynamic magnetism can estimate the 3D position of a terminal within several centimeters, and it is robust against the environment. However, since the performance of the smartphone's magnetic sensor is limited, this method cannot be used in smartphones. In this research, we propose a smartphone 3D positioning method using a Spinning Magnet Marker (SMM) that spins a powerful neodymium magnet with a motor. Magnetoquasistatic field generated by an SMM is detected by a magnetic sensor mounted on a smartphone, and the 3D position of a smartphone based on the SMM is estimated from the magnetism. We developed an SMM with a stepper motor to improve estimation accuracy. In addition, we studied the magnetism generated by an SMM and derive equations to estimate the 3D position of a smartphone. Furthermore, we improved the estimation accuracy and expanded coverage by introducing a noise reduction method. We evaluate the estimation accuracy of the proposed method. When the azimuth angle is 0 • , the elevation angle is 0 • , and the distance is 3 m, the azimuth angle is estimated with a mean error of 1 • , the elevation angle is estimated with a mean error of 4 • , and the distance is estimated with a mean error of 9 cm.

show abstract

“…In the system done by [12], the authors detected the indoor location by placing five BLE beacon in the indoor location, and smartphone as BLE scanner carried by the subject and divided the home environment as five separate sections. The authors in [13] implemented the indoor location system by placing fixed BLE scanners in the building and BLE beacon carried by the subject, the distance estimation done by using statistical equation between the BLE scanners and BLE beacon. This approach is adopted in this project as the BLE beacon can be embedded into the wearable device easily.…”

Section: Literature Reviewmentioning

confidence: 99%

A wearable device for machine learning based elderly's activity tracking and indoor location system

et al. 2021

View full text Add to dashboard Cite

The number of older people is increasing in many countries. By 2030, it is estimated that 15% of the overall population will be comprised of people aged 65 and above. Hence, the monitoring and tracking of elder activities to ensure they live an active life has become a major research topic in recent years. In this work, an elderly sub-activity tracking system is developed to detect the sub-activity of the elderly based on their physical activities and indoor location. The physical activities tracking system and indoor location system is combined in this project to enhance the context of the elderly activities (i.e. sub-activities as defined in this project). An indoor location system is developed by using Bluetooth Low Energy (BLE) beacon and BLE scanners to measure the Received Signal Strength Indicator (RSSI) signal to detect the location of the elderly. The activity tracking is carried out via a waist wearable device worn by the elderly. Random forest and Support Vector Machine (SVM) are used as machine learning classifiers to predict the activity and indoor location with an accuracy of 95.03% and 86.58%, respectively. The data from activity tracking and indoor location sub-systems will then be combined to derive the sub-activity and push to an online Internet of Things (IoT) platform for remote monitoring and notification.

show abstract

A location estimation method using mobile BLE tags with tandem scanners

Cited by 8 publications

References 5 publications

Global map matching using BLE beacons for indoor route and stay estimation

Global map matching using BLE beacons for indoor route and stay estimation

A Smartphone 3D Positioning Method using a Spinning Magnet Marker

A wearable device for machine learning based elderly's activity tracking and indoor location system

Contact Info

Product

Resources

About