A Light-weight Wi-Fi Fingerprint Generator with AR

• DOI: 10.1145/3342280.3342325
• Publication Date: 2019-08-14T19:32:36Z
• Authors: Shuhan Shen; Bingxian Lu; Zhanwu Yang; Yinghua Dong; Bin Han; Lei Wang
• Keywords: 02 engineering and technology; 0210 nano-technology

Compared with outdoor localization, indoor localization remains knotty. To cope with this problem, people have developed some indoor localization systems based on Wi-Fi fingerprints. However, in order to get the fingerprints, pre-collection of ample Wi-Fi signal features at selected indoor locations is needed, which is time-consuming. In this poster, we presented a light way to obtain the indoor Wi-Fi RSS fingerprints with the combination of Augmented Reality (AR). We believe the new fingerprint generating approach will shorten the time in data collecting phase and improve the time-efficiency of such methods.