A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning
In recent years, indoor positioning is getting more attention, and WiFi fingerprinting is one promising method to track the position of a person. Until now, there is a lack of public datasets that can be used to compare fairly among different positioning algorithms. In this paper, a multi-condition...
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| Định dạng: | Conference paper |
| Ngôn ngữ: | English |
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Springer
2022
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/handle/123456789/1646 |
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oai:scholar.dlu.edu.vn:123456789-16462023-06-14T06:54:55Z A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning Dương, Bảo Ninh He, Jing Vũ, Thành Trung Nguyễn, Thị Lương Đỗ, Thị Lệ Nguyễn, Hữu Khánh WiFi Fingerprinting, RSS, Dataset, Indoor positioning In recent years, indoor positioning is getting more attention, and WiFi fingerprinting is one promising method to track the position of a person. Until now, there is a lack of public datasets that can be used to compare fairly among different positioning algorithms. In this paper, a multi-condition WiFi fingerprinting dataset is introduced and can be accessed freely for further researches. The raw data were collected over four months in an office room that has a total of 205 reference points. Moreover, this dataset focuses on the different environmental conditions such as the density of people, the subject direction, the period in a day, etc. Various conditions were set up not only in the offline phase but also in the online phase. To support the understanding of the dataset, some materials and software are also provided. 124 601–613 2022-12-26T09:40:16Z 2022-12-26T09:40:16Z 2022-05 Conference paper Bài báo đăng trên tạp chí thuộc SCOPUS, bao gồm book chapter https://scholar.dlu.edu.vn/handle/123456789/1646 10.1007/978-3-030-97610-1_48 en Springer International Conference on Artificial Intelligence and Big Data in Digital Era (ICABDE 2021) Online ISBN: 978-3-030-97610-1; Print ISBN: 978-3-030-97609-5 Springer Springer Link |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
WiFi Fingerprinting, RSS, Dataset, Indoor positioning |
| spellingShingle |
WiFi Fingerprinting, RSS, Dataset, Indoor positioning Dương, Bảo Ninh He, Jing Vũ, Thành Trung Nguyễn, Thị Lương Đỗ, Thị Lệ Nguyễn, Hữu Khánh A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning |
| description |
In recent years, indoor positioning is getting more attention, and WiFi fingerprinting is one promising method to track the position of a person. Until now, there is a lack of public datasets that can be used to compare fairly among different positioning algorithms. In this paper, a multi-condition WiFi fingerprinting dataset is introduced and can be accessed freely for further researches. The raw data were collected over four months in an office room that has a total of 205 reference points. Moreover, this dataset focuses on the different environmental conditions such as the density of people, the subject direction, the period in a day, etc. Various conditions were set up not only in the offline phase but also in the online phase. To support the understanding of the dataset, some materials and software are also provided. |
| format |
Conference paper |
| author |
Dương, Bảo Ninh He, Jing Vũ, Thành Trung Nguyễn, Thị Lương Đỗ, Thị Lệ Nguyễn, Hữu Khánh |
| author_facet |
Dương, Bảo Ninh He, Jing Vũ, Thành Trung Nguyễn, Thị Lương Đỗ, Thị Lệ Nguyễn, Hữu Khánh |
| author_sort |
Dương, Bảo Ninh |
| title |
A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning |
| title_short |
A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning |
| title_full |
A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning |
| title_fullStr |
A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning |
| title_full_unstemmed |
A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning |
| title_sort |
multi-condition wifi fingerprinting dataset for indoor positioning |
| publisher |
Springer |
| publishDate |
2022 |
| url |
https://scholar.dlu.edu.vn/handle/123456789/1646 |
| _version_ |
1778233819394998272 |