Activity Identification for Gait Recognition Using Mobile Devices
Year: 2011
Type: dissertation
Abstract: The need to increase the security measures and make the users of different devices feel\nsafer has led the researchers focus on finding new security mechanisms with better performance.\nA field where not much has been done so far is finding a solution is keeping the\ndata secured by ensuring that only the authorized user can access the data. Even though\ngait recognition is an important element in this project and in the entire authentication\nprocess the issue is that it is not the only element in a successful implementation of the\nproject. This is due to different routine activities people do daily. A solution to this issue\ncould be activity recognition that would reduce the disadvantages of gait recognition by\nidentifying the activities of a person continuously. Activity recognition would not only\nmake it possible to authenticate the user in different daily activities like: slow walking,\nnormal walking, fast walking even running, but it would also help in avoiding authentication\nwhen the user is in passive state like: sitting, standing still, etc. This is one of the\nkey factors that motivated us in making our choice since it is an interesting challenge\nand it would be benefiting in the data security area if not revolutionized it. This project\nwork has resulted in two publications papers. One paper has been accepted and attached\nin the appendix. The other paper is submitted and under review.
Author: Gazmend Bajrami
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2470727160