Please use this identifier to cite or link to this item: https://scholar.dlu.edu.vn/handle/123456789/989
Title: A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning
Authors: Dương, Bảo Ninh 
He, Jing; Vu-Thanh, Trung
Nguyễn, Thị Lương 
Đỗ, Thị Lệ 
Nguyễn, Hữu Khánh 
Issue Date: 2022
Publisher: Springer International Publishing
Abstract: 
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.
URI: https://scholar.dlu.edu.vn/handle/123456789/989
Type: Bài báo đăng trên KYHT quốc tế (có ISBN)
Appears in Collections:Kỷ yếu hội thảo (Khoa Công nghệ thông tin)

Show full item record


CORE Recommender

Page view(s)

59
Last Week
1
Last month
1
checked on Feb 18, 2025

Google ScholarTM

Check




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.