Biometrics can recognize someone based on physical and behavioral characteristics, such as facial, voice, or fingerprints, which is becoming more important nowadays and can even be used to deal with financial fraud and security threats. This is because traditional methods of confidentiality, such as PIN or password, are easily stolen. For example, Barclays has introduced the "TouchID" fingerprint scanner, which customers can access online banking through a fingerprint scanner on their phone. However, this is not a foolproof, this biometric-based password is also likely to be cracked. All fingerprints can be forged. In addition, experimentally verified, fingerprints stained with cellophane tape from glass can be used to make fake fingerprints. Therefore, we really need to develop more advanced biometrics that are difficult or impossible to counterfeit. Of course, more research prospects of the brain. Emerging biometrics based brain activity does show the potential for fraud prevention. Over the years, many studies have found that each person's "brain fingerprint" (the brain's response to certain words or tasks) is different because each person's brain has a different way of thinking. In fact, the brain recognizes more than 98% of a person's accuracy from 102 individuals, which is very close to the accuracy of fingerprinting (99.8% accuracy). This has been confirmed recently by functional magnetic resonance imaging (fMRI), a technique that detects brain activity by tracking changes in blood flow. A study of human MRI data found that when people are doing something that requires brain activity, such as relaxing, listening to stories, calculating math, looking at an emotional expression, or imagining a body part When moving, these people are recognized with an accuracy rate of up to 99%. However, the cost and difficulty of using magnetic resonance imaging (which must remain in the scanner for a long time) means that it is obviously not suitable for everyday biological discrimination. Face and voiceprint recognition is outdated, have you heard of brainwave recognition? For this reason, researchers turned to EEG, which uses electrodes to track and record brain wave patterns. But this is also troublesome. Who would like to wear a gel electrode to use the computer? Therefore, this technology has always been only used in science fiction. Recently, the technology of recording the brain waves by recording the electrodes placed on the surface of a standard earphone has provided a new solution for brain wave detection, which means that the gel electrodes are no longer needed. But it is also not easy to operate because the brain is actively working on different messages, so brain waves are "noisy." However, increasingly advanced signal processing methods have recently been able to reduce noise components, which, of course, often require significant computational power. With the rapid growth of handset processing capabilities, this is no longer a problem. In theory, it should be able to do all the necessary processing on a smartphone. So, why brain fingerprinting technology has not been widely used? One disadvantage of this technique is that it can not be used by twins because their EEG patterns are almost the same. The more important problem is that the brain lacks stability over time. It is not enough to have an EEG scan only once, and it may be necessary to recheck occasionally, such as once a month. Face and voiceprint recognition is outdated, have you heard of brainwave recognition? This is because the connecting parts of the brain are elastic (they change as human experiences change) and the brain's thinking process can change over time. However, at the ongoing research at the University of Kent, we have demonstrated that certain tones (played through headphones) can minimize these changes. It is not yet clear how these tones affect the brain, but we speculate that they may calm the brain and allow the brain to concentrate more. Face and voiceprint recognition is outdated, have you heard of brainwave recognition? Dual-identity authentication is now the norm for many bank transactions, such as the need for both passwords and additional code to be sent to handsets. Soon, New York banks may have to comply with the New York State Department of Financial Services's multi-factor authentication protocol, at least three of which are used to access internal systems with privileged access or to enhance the security of remote access. Although fingerprinting and speech recognition are feasible, biometrics-based biometrics can be more easily used as an additional condition to meet this new cyber-security regulation. If there is a security hole in the storage template (unlike fingerprint biometrics, which can not be replaced once it has been compromised), brain biometrics templates can even be updated for different mental activities. In addition, brain fingerprints can be used to generate passwords instead of traditional alphanumeric passwords or PIN codes in ATM machines. For example, a person can connect a headset to an ATM machine and then display a series of withdrawal codes at the ATM without having to enter a PIN. When the correct password appears, the brain pattern changes - activate the transaction. In doing so, one does not have to worry about others going over their shoulders to peek at the password. In addition, under pressure, brain fingerprints will not work because of over-pressure, which will keep passwords from being stolen easily. Given the difficulty of copying one's exact thinking process, this technique is undoubtedly very advantageous. As technology continues to evolve, we are likely to soon see biometric fingerprinting applications as part of a multi-factor authentication system that enhances certification. So do not be surprised when you see the brainwave headphone coming out of your bank mail.