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SECURE BCls ANDROID LOCK SCREEN APPLICATION

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dc.contributor.author Mustafa, Irfan Reg # 31191
dc.contributor.author Masud, Sidra Reg # 32784
dc.contributor.author Shabbir, Rizwan Reg # 31184
dc.contributor.author Farooq, M. Umer Reg # 32766
dc.date.accessioned 2017-06-22T05:13:27Z
dc.date.available 2017-06-22T05:13:27Z
dc.date.issued 2016-12
dc.identifier.uri http://hdl.handle.net/123456789/1965
dc.description Supervised by Dr. Humera Farooq en_US
dc.description.abstract Brain computer interfaces (BCI) are recent developments in alternative technologies to interact with the user. From the outset, the interaction of brain and machine has fascinated many fields, ranging from engineering and medical on a large scale, and robotics, computer science, psychology and neuroscience science fiction and video games. More than a machine able to interpret the intention of users, high interactivity. The main purpose of the facades of the brain-computer interaction is the most powerful - so much so that users see the impact of this work in the same way when they are transferred intent through normal channels output (i.e. peripheral nerves and muscles). Based electrical operation depends on the facade of the brain and a computer (BCIEEG) on the ability to capture a large brain electrical signals that can be modulated intentionally by the user in order to control them. Development in the field gradually has contributed over the past decades for the transfer of controlled laboratory environments for real-life technology. This project use algorithms that use the BCI to distinguish between primitive shapes that are imagined by a user. And use these classified values to open android lock screen, Users wear an electroencephalogram (EEG) headset and imagine the shape of a cube, sphere, cylinder, pyramid or a cone, with the help of Bluetooth protocol Send these values to android phone, and match these value of classification with store classification en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Karachi Campus en_US
dc.title SECURE BCls ANDROID LOCK SCREEN APPLICATION en_US
dc.type Thesis en_US


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