1. “Convolutional Neural Networks for User Identification based on Motion Sensors Represented as Images,”;Benegui;IEEE Access,2020
2. A. Buriro, B. Crispo, and Y. Zhauniarovich, “Please Hold On: Unobtrusive User Authentication using Smartphone’s built-in Sensors,” in Proceedings of ISBA, 2017, pp. 1–8.
3. “HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users,”;Sitová;IEEE Transactions on Information Forensics and Security,2016
4. L. Sun, Y. Wang, B. Cao, S. Y. Philip, W. Srisa-An, and A. D. Leow, “Sequential keystroke behavioral biometrics for mobile user identification via multi-view deep learning,” in Proceedings of ECML-PKDD, 2017, pp. 228–240.
5. A. Vajdi, M. R. Zaghian, S. Farahmand, E. Rastegar, K. Maroofi, S. Jia, M. Pomplun, N. Haspel, and A. Bayat, “Human gait database for normal walk collected by smart phone accelerometer,” arXiv preprint arXiv:1905.03109, 2019.