Real-time security authentication method based on EEG data features
A technology of security authentication and data characteristics, applied in the field of brain waves, can solve problems such as brain waves cannot be guaranteed, inappropriate, and schemes are prone to deviations, and achieve the effects of improving accuracy, safety, and complexity
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Embodiment 1
[0064] see figure 1 , figure 2 , image 3 , Figure 6 , Figure 7 What this embodiment adopts is the Emotiv Epoc X brain wave collection and analysis helmet as the device of brain wave collection in this embodiment; Real-time security authentication method based on EEG data feature; Said method comprises the following steps:
[0065] Step 100: building a personal security authentication library;
[0066] The step 100 also includes the following steps:
[0067] Step 110: Determine the type of the user's handheld terminal and the left and right hands used; first of all, it needs to be further explained that the source of stimulation in this embodiment is vibration, so it is necessary to use an additional handheld device that can trigger vibration, and this vibration can be The purpose of the present invention can only be achieved by adjusting according to the instructions. Based on the handheld device mentioned here, it can be a mobile phone, a smart bracelet, or a vibrati...
Embodiment 2
[0120] see Figure 4 , Figure 5 , the difference between it and the embodiment is that the brain wave detection device used is a relatively cheap brain wave detection device; the difference between the two is that the device used in embodiment 1 uses 14 detection electrodes, which can detect the brain wave of the whole head signal, the result of the final verification is relatively accurate; while the number of brain wave detection electrodes in Example 2 is 3, which are distributed on the forehead; the two devices deal with different usage scenarios, and Example 1 can be applied to environments with higher safety requirements, such as Banks, safes and other environments; and the corresponding scene of embodiment 2 can be micropayment, unlocking and other environments; based on the accuracy of the equipment used in embodiment 2, corresponding changes are also made for the frequency setting; the frequency range It is 150Hz-250Hz; the way of the vibration signal of different f...
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