Name
Abstract | ||
|---|---|---|
With the rate at which smartphones are currently evolving, more and more of human life will be contained in these devices. At a time when data privacy is extremely important, it is crucial to protect one's mobile device. In this paper, we propose a new non-intrusive gait recognition based mechanism that can enhance the security of smartphones by rapidly identifying users with a high degree of confidence and securing sensitive data in case of an attack, with a focus on a potential architecture for such an algorithm for the Android environment. The motion sensors on an Android device are used to create a statistical model of a user's gait, which is later used for identification. Through experimental testing, we prove the capability of our proposed solution by correctly classifying individuals with an accuracy upwards of 90% when tested on data recorded during multiple activities. The experiments, conducted on a low sampling rate and at short time intervals, show the benefits of our solution and highlight the feasibility of an efficient gait recognition mechanism on modern smartphones. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/s20154110 | SENSORS |
Keywords | DocType | Volume |
mobile devices,smartphones,authentication,privacy,gait detection | Journal | 20 |
Issue | ISSN | Citations |
15 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matei-Sorin Axente | 1 | 0 | 0.34 |
| Ciprian Dobre | 2 | 552 | 87.40 |
| Radu-Ioan Ciobanu | 3 | 102 | 16.79 |
| Raluca Purnichescu-Purtan | 4 | 0 | 0.34 |