抄録
Indoor localization, device identification, and wireless attendance security systems are widely used in recent years. There is always a premise that each person can carry only one wireless device by himself, which is no longer valid nowadays. To detect the uniqueness identification problem, the bio-assisted methods such as fingerprint, face or gait recognition systems are deployed near the entrance which are difficult to use. This paper studies such problem using RF RSS fingerprints which can be collected and modeled as time series. Then we can calculate the similarity of the time series to judge the uniqueness identification problem. Firstly, a naive algorithm using dynamic time warping is presented to simply compute the similarity the asynchronous time series. Then an improved algorithm is proposed to reduce the computational complexity while keeping the robustness. Simulation and experiments results show that our algorithms can perfectly detect the uniqueness identification problem with a reasonable cost.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 45th International Conference on Parallel Processing Workshops, ICPPW 2016 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 408-414 |
ページ数 | 7 |
巻 | 2016-September |
ISBN(電子版) | 9781509028252 |
DOI | |
出版ステータス | Published - 2016 9月 23 |
イベント | 45th International Conference on Parallel Processing Workshops, ICPPW 2016 - Philadelphia, United States 継続期間: 2016 8月 16 → 2016 8月 19 |
Other
Other | 45th International Conference on Parallel Processing Workshops, ICPPW 2016 |
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国/地域 | United States |
City | Philadelphia |
Period | 16/8/16 → 16/8/19 |
ASJC Scopus subject areas
- ソフトウェア
- 数学 (全般)
- ハードウェアとアーキテクチャ