Gait-based user authentication is a very well-known technique with ready adoption due to its nonobstructive method of operation. In this paper, Hoang et al. have proposed an inertial sensor-based approach for detecting human gait through mobile phones. The architecture of the proposed system is quite elaborate and covers all aspects of gait-based authentication, namely, gait signal extraction and pre-processing, signal encoding, and cryptographic key binding. The system was evaluated for performance on a data set comprising 38 individuals, 28 males and 10 females, with signals captured on the Google Nexus mobile platform. Evaluation of the scheme is detailed in the last section of the paper. Table 3 in particular illustrates a comparison of the performance of the proposed scheme with other popular schemes such as the fuzzy commitment scheme (FCS), fuzzy extractor (FE), secure sketch (SS), and password hardening (PH).

A background in signal processing and gait-based user authentication is essential in order to grasp the key findings presented. Overall, the paper is very well written and easy to follow for the information security research community.