Activity Identification for Gait Recognition Using Mobile Devices

The need to increase the security measures and make the users of different devices feel safer has led the researchers focus on finding new security mechanisms with better performance. A field where not much has been done so far is finding a solution is keeping the data secured by ensuring that only the authorized user can access the data. Even though gait recognition is an important element in this project and in the entire authentication process the issue is that it is not the only element in a successful implementation of the project. This is due to different routine activities people do daily. A solution to this issue could be activity recognition that would reduce the disadvantages of gait recognition by identifying the activities of a person continuously. Activity recognition would not only make it possible to authenticate the user in different daily activities like: slow walking, normal walking, fast walking even running, but it would also help in avoiding authentication when the user is in passive state like: sitting, standing still, etc. This is one of the key factors that motivated us in making our choice since it is an interesting challenge and it would be benefiting in the data security area if not revolutionized it. This project work has resulted in two publications papers. One paper has been accepted and attached in the appendix. The other paper is submitted and under review