Abstract
In smart homes environment, the access and identification of different persons are key enabling technology to make personalized services or intrusion detection. However, most state-of-the-art systems require users to carry or wear dedicated devices which are not user-friendly. In this paper, we present WiSmart, a fine-grained device-free framework that can distinguish different actions and identify persons within a short duration using WiFi signal. The experiments show that we can achieve an average accuracy of human activity model up to 89.14% and human identification model greater than 85.6%.
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References
Selvabala, V.S.N., Ganesh, A.B.: Implementation of wireless sensor network based human fall detection system. Procedia Eng. 30, 767–773 (2012)
Xia, Z., Wang, X., Zhang, L., Qin, Z., Sun, X., Ren, K.: A Privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. TIFS 11(11), 2594–2608 (2016)
Zeng, Y., Pathak, P.H., Mohapatra, P.: WiWho: WiFi-based person identification in smart spaces. In: Proceeding of IEEE/ACM IPSN (2016)
Hong, F., Wang, X., Yang, Y., Zong, Y., Zhang, Y., Guo, Z.: WFID: passive device-free human identification using WiFi signal. In: Proceeding of MOBIQUITOUS, pp. 47–56 (2016)
Zhang, J., Wei, B., Hu, W., Kanhere, S.S.: WiFi-ID: human identification using WiFi signal. In: Proceeding of DCOSS, pp. 75–82 (2016)
Xin, T., Guo, B., Wang, Z., Li, M., Yu, Z.: FreeSense: indoor human identification with WiFi signals. In: arXiv:1608.03430
Unar, J.A., Seng, W.C., Abbasi, A.: A review of biometric technology along with trends and prospects. Pattern Recogn. 47(8), 2673–2688 (2014)
Gu, B., Sheng, V.S.: A robust regularization path algorithm for v-support vector classification. IEEE Trans. Neural Networks Learn. Syst. 28(5), 1241–1248 (2016)
Fu, Z., Ren, K., Shu, J., Sun, X., Huang, F.: Enabling personalized search over encrypted outsourced data with efficiency improvement. IEEE Trans. Parallel Distrib. Syst. 27(9), 2546–2559 (2016)
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Liu, S., Zhao, Y., Chen, B. (2017). WiSmart : Robust Human Access and Identification for Smart Homes Using WiFi Signals. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10603. Springer, Cham. https://doi.org/10.1007/978-3-319-68542-7_78
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DOI: https://doi.org/10.1007/978-3-319-68542-7_78
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