… In this paper, we present WiPass, a 1D-CNN-based keystroke recognition system for … user’s
keystrokes via WiFi signals. Different from the previous keystroke recognition methods based …

… human subtle motions, such as keystrokes. Therefore, we build a signal enhancement model
using Ricean distribution to amplify user keystroke dynamics and a hybrid learning model …

… shows that using the CSI of WiFi signal can attack the computer keyboard and then decipher
the user’s keyboard input [3]. Thereby, we consider the possibility of using WiFi signal to …

… Keystroke detection In the keystroke detection step, we use a moving variance algorithm to
detect each keystroke event… Our keystroke detection works well when there is no interference …

… an increasing interest in methods for keystrokes recognition over WiFi devices. Apart from the
… works that recognize keystrokes based on WiFi signals, we apply new keystroke extraction …

… signals to classify keystrokes. We compare the performance of … keystroke recognition through
experiments in two scenarios. Firstly, we evaluate the performance in identifying keystrokes …

… gait recognition to the range of 20 m compared to the previous WiFi scheme of WiDIGR [10] …
this study is the first attempt toward using LoRa signals for gait recognition in a 20-m range. …

… restriction impedes Wi-Fi based gait recognition from being widely … gait recognition system
for a single subject, Wi-PIGR, is proposed. In Wi-PIGR, the subject is identified through the gait …

… [7] were among the first to apply keystroke dynamics for continuous authentication. Later,
Kenneth Revett et al. [9] combined keystroke dynamics with machine learning to distinguish …

… the recognition of the specific behavior, such as keystroke … CSI signals, through which the
components of CSI signals are … the original CSI signal and obtains new signal data. Then the …