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introduction of more features such as the hold time and signal magnitudes could produce more ideal score matrices, i.e., only inputs from the same user have the lower score (more blue), suggesting that the typing patterns between different users are more distinctive. The same conclusion can also be drawn from the perspective of system accuracy, i.e., by integrating the features of hold time and the features of signal magnitudes, the system accuracy can be improved and the FAR rate can be reduced compared to only adopting the features of typing latencies. By replacing standard input devices like commercial keyboards with the triboelectric keystroke system, an imposter knowing the correct password still could not log onto the computer system unless his/her typing dynamics matches the information stored in the system. By switching the customized classifier in the system from the binary mode to the multi-class mode, the system can serve for identification purposes and identify different users even if they typed the same codes. The two-factor authentication and identification system built upon the triboelectric keystroke device and the SVM-based platform offers a facile and reliable solution for enhanced keystroke dynamics. It provides a higher level of cyber security by integrating the influence of typing force while excluding the effects from undesirable sources, such as inadvertent touch and changes on typing surfaces. Security concerns about password leaking can be greatly alleviated. The approach can be even more reliable than fingerprint based authentication that can be easily replicated. Meanwhile, the rationally designed, unconventional keystroke device is flexible, stretchable and water/dust proof, which makes it highly mobile and applicable to versatile working environments. Hence, its application as input devices in the financial and computing industry is promising and meaningful for user identification and information protection. 119PDF Image | HIGH PERFORMANCE TRIBOELECTRIC NANOGENERATOR AND ITS APPLICATIONS
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